Triple
T35425509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Methanol Holdings (Trinidad) Limited |
E1023908
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Point Lisas, Couva-Tabaquite-Talparo, Trinidad and Tobago
Point Lisas in Couva-Tabaquite-Talparo, Trinidad and Tobago, is a major industrial hub known for its large petrochemical and heavy industrial complexes, including significant methanol production facilities.
|
E2139960
|
NE FINISHED |
How this triple was built (2 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: Point Lisas, Couva-Tabaquite-Talparo, Trinidad and Tobago | Statement: [Methanol Holdings (Trinidad) Limited, locatedIn, Point Lisas, Couva-Tabaquite-Talparo, Trinidad and Tobago]
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: Point Lisas, Couva-Tabaquite-Talparo, Trinidad and Tobago Triple: [Methanol Holdings (Trinidad) Limited, locatedIn, Point Lisas, Couva-Tabaquite-Talparo, Trinidad and Tobago]
Generated description
Point Lisas in Couva-Tabaquite-Talparo, Trinidad and Tobago, is a major industrial hub known for its large petrochemical and heavy industrial complexes, including significant methanol production facilities.
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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7959266148190905af858c51ec98f |
completed | May 3, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3836b93aac81909d8d794ab50edb43 |
completed | June 21, 2026, 7:08 p.m. |
| NEDg | Description generation | batch_6a3837f7f834819089531e36e7d792fb |
completed | June 21, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3838c21c348190a4d91c24b04201e8 |
completed | June 21, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:03 p.m.