Triple
T14913314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunapuna–Piarco region |
E371317
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Maracas–St. Joseph
Maracas–St. Joseph is a town in northern Trinidad known for its lush river valley setting and proximity to the Maracas Valley and surrounding mountains.
|
E1127177
|
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: Maracas–St. Joseph | Statement: [Tunapuna–Piarco region, contains, Maracas–St. Joseph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maracas–St. Joseph Context triple: [Tunapuna–Piarco region, contains, Maracas–St. Joseph]
-
A.
Abataranika
Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
-
B.
Marrero
Marrero is a suburban community in southeastern Louisiana located on the west bank of the Mississippi River near New Orleans.
-
C.
Aibonito
Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
-
D.
Talibra
Talibra is an independent music label associated with the release of Talib Kweli’s album "Gutter Rainbows."
-
E.
Carricart
Carricart is a Spanish-language surname of likely Basque origin borne by individuals such as María del Carmen Cerruti Carricart.
- 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: Maracas–St. Joseph Triple: [Tunapuna–Piarco region, contains, Maracas–St. Joseph]
Generated description
Maracas–St. Joseph is a town in northern Trinidad known for its lush river valley setting and proximity to the Maracas Valley and surrounding mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maracas–St. Joseph Target entity description: Maracas–St. Joseph is a town in northern Trinidad known for its lush river valley setting and proximity to the Maracas Valley and surrounding mountains.
-
A.
Abataranika
Abataranika is a Bengali literary work that served as the source material for the film "Mahanagar."
-
B.
Marrero
Marrero is a suburban community in southeastern Louisiana located on the west bank of the Mississippi River near New Orleans.
-
C.
Aibonito
Aibonito is a mountainous municipality in central Puerto Rico known for its cool climate and flower festival.
-
D.
Talibra
Talibra is an independent music label associated with the release of Talib Kweli’s album "Gutter Rainbows."
-
E.
Carricart
Carricart is a Spanish-language surname of likely Basque origin borne by individuals such as María del Carmen Cerruti Carricart.
- 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.