Triple
T35425566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Methanex Trinidad |
E1023909
|
entity |
| Predicate | adjacentIndustryCluster |
P186654
|
FINISHED |
| Object | Point Lisas petrochemical cluster |
—
|
NE NERFINISHED |
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 petrochemical cluster | Statement: [Methanex Trinidad, adjacentIndustryCluster, Point Lisas petrochemical cluster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: adjacentIndustryCluster Context triple: [Methanex Trinidad, adjacentIndustryCluster, Point Lisas petrochemical cluster]
-
A.
hasNearbyIndustry
Indicates that an entity is located close to one or more industrial facilities or activities.
-
B.
isPartOfEconomicCluster
Indicates that an entity belongs to, or is included within, a larger economic cluster or grouping based on economic relationships or activities.
-
C.
cityIndustryAssociation
Indicates an associative relationship between a city and an industry, such as the industry being present, active, or economically significant in that city.
-
D.
nearIndustrialComplex
chosen
Indicates that one entity is located in close proximity to an industrial complex.
-
E.
adjacentToIndustrialArea
Indicates that one entity is located directly next to or bordering an industrial area.
- F. None of above.
Provenance (3 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_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:03 p.m.