Triple
T18868789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yenangyaung |
E461511
|
entity |
| Predicate | hasLocalEconomyResource |
P25525
|
FINISHED |
| Object | onshore oil |
—
|
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: onshore oil | Statement: [Yenangyaung, hasLocalEconomyResource, onshore oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalEconomyResource Context triple: [Yenangyaung, hasLocalEconomyResource, onshore oil]
-
A.
hasEconomicResource
chosen
Indicates that an entity possesses, controls, or has access to an economic resource (such as money, assets, or productive means) that can be used for economic activities or value creation.
-
B.
hasEconomyCharacteristic
Indicates that an economy possesses a particular attribute, feature, or quality.
-
C.
hasNaturalResourceConstraint
Indicates that an entity is subject to limitations or restrictions arising from the availability, quality, or sustainability of natural resources.
-
D.
hasNearbyEconomicRegion
Indicates that one economic region is geographically close to or adjacent to another economic region.
-
E.
hasResourcePotential
Indicates that an entity possesses the capacity or suitability to provide, generate, or support a particular resource in the future.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a7e1308190a1667d2d2d43df6c |
completed | April 20, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69e48d2166b88190add38de96cedc65c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:57 a.m.