Triple
T29569285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Persian Gulf oil fields |
E753252
|
entity |
| Predicate | sawMajorExpansion |
P6451
|
FINISHED |
| Object | post-World War II era |
—
|
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: post-World War II era | Statement: [Persian Gulf oil fields, sawMajorExpansion, post-World War II era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawMajorExpansion Context triple: [Persian Gulf oil fields, sawMajorExpansion, post-World War II era]
-
A.
majorExpansionUnder
Indicates that one entity is undergoing or has undergone a significant enlargement, growth, or extension while being under the authority, control, or scope of another entity.
-
B.
significantExpansionDate
Indicates the date on which an entity underwent a major or notable expansion in its size, scope, or operations.
-
C.
timePeriodOfMajorExpansion
chosen
Indicates the time span during which the referenced entity underwent its most significant growth or expansion.
-
D.
sawMajorEscalation
Indicates that the relationship or situation experienced a significant and rapid increase in intensity, scale, or severity.
-
E.
sectorExpansion
Indicates an increase or broadening in the size, scope, or activity level of a particular sector or industry over time.
- 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_69f0ef7fcb4881908a933110adb9bda1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f66d44be1c8190aa553786ef4ed1b1 |
completed | May 2, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f6633ac8a88190ab0cda62bbfcf9b0 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 5:56 p.m.