Triple
T36698317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lago Agrio |
E906150
|
entity |
| Predicate | hasNearbyOilInfrastructure |
P202254
|
FINISHED |
| Object | pipelines |
—
|
LITERAL 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: pipelines | Statement: [Lago Agrio, hasNearbyOilInfrastructure, pipelines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyOilInfrastructure Context triple: [Lago Agrio, hasNearbyOilInfrastructure, pipelines]
-
A.
hasNearbyOilField
Indicates that an entity is located close to or in the vicinity of an oil field.
-
B.
nearbyOilField
Indicates that one location is situated close to an oil field.
-
C.
hasNearbyOilAndGasFields
Indicates that an entity is located close to one or more oil and gas extraction fields.
-
D.
hasNearbyOilTown
Indicates that one location is situated close to a town whose economy or identity is significantly associated with oil production or refining.
-
E.
hasNearbyGasPlant
Indicates that one entity is located close to a gas plant associated with or relevant to it.
- F. None of above. chosen
Provenance (4 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0067cde0f08190b2cd93af5f00d519 |
completed | May 10, 2026, 11:11 a.m. |
| PD | Predicate disambiguation | batch_6a0065820c8c8190994734433c64a30a |
completed | May 10, 2026, 11:01 a.m. |
| PDg | Predicate description generation | batch_6a0067cd38bc8190a719e9d1a287cd95 |
completed | May 10, 2026, 11:11 a.m. |
Created at: May 3, 2026, 4:12 p.m.