Triple
T14913306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunapuna–Piarco region |
E371317
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Trincity
Trincity is a major suburban and commercial hub in northern Trinidad, known for its large shopping mall and residential developments within the Tunapuna–Piarco region.
|
E1127171
|
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: Trincity | Statement: [Tunapuna–Piarco region, contains, Trincity]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trincity Context triple: [Tunapuna–Piarco region, contains, Trincity]
-
A.
Shannon City
Shannon City is a small rural community in southern Iowa, United States.
-
B.
Union City
Union City is a suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
-
C.
Union City
Union City is a suburban city in California’s San Francisco Bay Area, known for its diverse population and location between Oakland and San Jose.
-
D.
Union City
Union City is a mid-sized American municipality known for its residential neighborhoods, local commerce, and community-oriented amenities.
-
E.
Eastland
Eastland is a small city in central Texas that serves as the county seat of Eastland County and a regional hub for legal and civic affairs.
- 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: Trincity Triple: [Tunapuna–Piarco region, contains, Trincity]
Generated description
Trincity is a major suburban and commercial hub in northern Trinidad, known for its large shopping mall and residential developments within the Tunapuna–Piarco region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trincity Target entity description: Trincity is a major suburban and commercial hub in northern Trinidad, known for its large shopping mall and residential developments within the Tunapuna–Piarco region.
-
A.
Shannon City
Shannon City is a small rural community in southern Iowa, United States.
-
B.
Union City
Union City is a suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
-
C.
Union City
Union City is a suburban city in California’s San Francisco Bay Area, known for its diverse population and location between Oakland and San Jose.
-
D.
Union City
Union City is a mid-sized American municipality known for its residential neighborhoods, local commerce, and community-oriented amenities.
-
E.
Eastland
Eastland is a small city in central Texas that serves as the county seat of Eastland County and a regional hub for legal and civic affairs.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61d75008190b6f9a1a38137836f |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72bd18148190ab28744678c22993 |
completed | May 8, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69fe744b9c048190ae2a64da53d8ffac |
completed | May 8, 2026, 11:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe74d510808190a2379a2380fc327e |
completed | May 8, 2026, 11:42 p.m. |
Created at: April 10, 2026, 2:27 a.m.