Triple
T1510394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolima Department |
E31997
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Honda
Honda is a historic Colombian river port city on the Magdalena River, known for its colonial architecture and numerous bridges.
|
E174121
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Honda | Statement: [Tolima Department, hasMajorCity, Honda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Honda Context triple: [Tolima Department, hasMajorCity, Honda]
-
A.
Honda
Honda is a major Japanese automobile and motorcycle manufacturer known for its reliable, fuel-efficient vehicles and global market presence.
-
B.
Mazda Motor Corporation
Mazda Motor Corporation is a Japanese automaker known for its innovative engineering, including rotary engines and driver-focused vehicles, and for its global presence in the automotive market.
-
C.
Honda Civic
The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
-
D.
Acura
Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and reliability.
-
E.
Mitsubishi
Mitsubishi is a major Japanese multinational conglomerate known for its diverse businesses in industries such as automotive, heavy industry, finance, and electronics.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Honda Triple: [Tolima Department, hasMajorCity, Honda]
Generated description
Honda is a historic Colombian river port city on the Magdalena River, known for its colonial architecture and numerous bridges.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Honda Target entity description: Honda is a historic Colombian river port city on the Magdalena River, known for its colonial architecture and numerous bridges.
-
A.
Honda
Honda is a major Japanese automobile and motorcycle manufacturer known for its reliable, fuel-efficient vehicles and global market presence.
-
B.
Mazda Motor Corporation
Mazda Motor Corporation is a Japanese automaker known for its innovative engineering, including rotary engines and driver-focused vehicles, and for its global presence in the automotive market.
-
C.
Honda Civic
The Honda Civic is a popular compact car known for its reliability, fuel efficiency, and long-standing presence in Honda’s global lineup.
-
D.
Acura
Acura is Honda's luxury vehicle division, known for producing premium cars and SUVs with a focus on performance, technology, and reliability.
-
E.
Mitsubishi
Mitsubishi is a major Japanese multinational conglomerate known for its diverse businesses in industries such as automotive, heavy industry, finance, and electronics.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907d4edd48190a03c85e1a0cc02b1 |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad294805308190ada3ed69ec71ce43 |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2a1742d48190a82c1fc8c81d5c21 |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a9e50888190bab83785f11135ea |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 4, 2026, 7:26 p.m.