Triple
T22928668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spindletop oil field |
E569375
|
entity |
| Predicate | secondBoomType |
P37035
|
FINISHED |
| Object | deeper oil production from lower formations |
—
|
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: deeper oil production from lower formations | Statement: [Spindletop oil field, secondBoomType, deeper oil production from lower formations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondBoomType Context triple: [Spindletop oil field, secondBoomType, deeper oil production from lower formations]
-
A.
secondPieceType
Indicates that the relationship specifies the type or category of the second piece involved in a pair or composite structure.
-
B.
secondStageType
chosen
Indicates the specific kind or category of a process, object, or event that occurs as the second stage in a multi-stage sequence.
-
C.
secondSeries
Indicates that one entity is the second installment or season in a series relative to another entity.
-
D.
secondEP
Indicates that an entity is the second episode (EP) in a sequence or series of episodes.
-
E.
secondVolume
Indicates that one entity is the second volume or installment in a multi-volume work or series relative to another entity.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f180db6db88190bc8efb691dcdfdba |
completed | April 29, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:44 p.m.