Triple
T14986584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aliso Canyon Oil Field |
E373717
|
entity |
| Predicate | hasNumberOfWells |
P116231
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Aliso Canyon Oil Field, hasNumberOfWells, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfWells Context triple: [Aliso Canyon Oil Field, hasNumberOfWells, over 100]
-
A.
hasMicroplate
Indicates that an entity possesses or is associated with a specific microplate.
-
B.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
C.
hasNumberOfPins
Indicates that an entity is associated with a specific count of pins it possesses or uses.
-
D.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
-
E.
hasNumberOfIslets
Indicates the quantitative relationship specifying how many islets are associated with a given entity.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7007588819095bb1de029a6f2eb |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:52 a.m.