Triple
T8112777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Almeidas Province |
E189395
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Manta
Manta is a municipality located in Almeidas Province in the Cundinamarca Department of central Colombia.
|
E712869
|
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: Manta | Statement: [Almeidas Province, containsMunicipality, Manta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manta Context triple: [Almeidas Province, containsMunicipality, Manta]
-
A.
Manta
Manta is a major coastal city and important seaport in western Ecuador, known for its fishing industry, beaches, and commercial activity.
-
B.
Manta
Manta is a flying roller coaster at SeaWorld Orlando that simulates the graceful, gliding motion of a manta ray through a combination of high-speed thrills and aquatic theming.
-
C.
Manta
Manta is a distributed object storage and compute service designed for running parallel computations directly on stored data in the cloud.
-
D.
Manta Rota
Manta Rota is a coastal village and popular beach resort in Portugal’s Algarve region, known for its long sandy beach and calm, shallow waters.
-
E.
Mola
Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
- 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: Manta Triple: [Almeidas Province, containsMunicipality, Manta]
Generated description
Manta is a municipality located in Almeidas Province in the Cundinamarca Department of central Colombia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Manta Target entity description: Manta is a municipality located in Almeidas Province in the Cundinamarca Department of central Colombia.
-
A.
Manta
Manta is a major coastal city and important seaport in western Ecuador, known for its fishing industry, beaches, and commercial activity.
-
B.
Manta
Manta is a flying roller coaster at SeaWorld Orlando that simulates the graceful, gliding motion of a manta ray through a combination of high-speed thrills and aquatic theming.
-
C.
Manta
Manta is a distributed object storage and compute service designed for running parallel computations directly on stored data in the cloud.
-
D.
Manta Rota
Manta Rota is a coastal village and popular beach resort in Portugal’s Algarve region, known for its long sandy beach and calm, shallow waters.
-
E.
Mola
Mola is a Spanish surname most notably associated with Emilio Mola, a key Nationalist general during the Spanish Civil War.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432d7dfc8190b9c980f32c7b4623 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9433a5848190aac09a2589061b53 |
completed | April 1, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69cc963fe2f8819098ad6a726e226189 |
completed | April 1, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc97781c0481909d21293633d111be |
completed | April 1, 2026, 3:56 a.m. |
Created at: March 30, 2026, 5:32 p.m.