Triple
T30964174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PetroChina |
E788903
|
entity |
| Predicate | isOneOfLargestOilAndGasCompaniesInChina |
P176346
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [PetroChina, isOneOfLargestOilAndGasCompaniesInChina, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOneOfLargestOilAndGasCompaniesInChina Context triple: [PetroChina, isOneOfLargestOilAndGasCompaniesInChina, true]
-
A.
secondLargestOilfieldInChina
Indicates that the subject is the second largest oilfield located within the territory of China.
-
B.
isOneOfLargestInlandFreshwaterLakesInChina
Indicates that an entity belongs to the group of the largest inland freshwater lakes located within China.
-
C.
isOilIndustryHub
Indicates that a location serves as a central focal point for activities, infrastructure, and operations related to the oil industry.
-
D.
hasOnshoreOilAndGasProduction
Indicates that an entity engages in or possesses facilities for extracting oil and/or natural gas from onshore (land-based) fields.
-
E.
HumbleOilAndRefiningCompanySuccessor
Indicates that one entity is the legal or organizational successor to the Humble Oil and Refining Company.
- 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_69f224c3a6b48190951add9b7b7f0271 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6dfcafd0c81908d86662948c539d6 |
completed | May 3, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
| PDg | Predicate description generation | batch_69f6df418f488190a5e7ff41f32dceda |
completed | May 3, 2026, 5:38 a.m. |
Created at: April 29, 2026, 8:54 p.m.