Triple
T9066174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasakah |
E217249
|
entity |
| Predicate | hasNearbyOilFields |
P25373
|
FINISHED |
| Object | al-Hasakah oil region |
—
|
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: al-Hasakah oil region | Statement: [Hasakah, hasNearbyOilFields, al-Hasakah oil region]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyOilFields Context triple: [Hasakah, hasNearbyOilFields, al-Hasakah oil region]
-
A.
hasNearbyOilField
chosen
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.
containsOilField
Indicates that one entity geographically includes or encompasses an oil field within its boundaries.
-
D.
hasMajorOffshoreOilField
Indicates that a country or region possesses at least one large, economically significant oil field located offshore in its territorial waters or exclusive economic zone.
-
E.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bc91d48190acf62afa90eec079 |
completed | April 1, 2026, 3:45 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:11 p.m.