Triple
T34503420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeit Bay oil field |
E885817
|
entity |
| Predicate | hasTypeOfCrude |
P13240
|
FINISHED |
| Object | Zeit Bay crude 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: Zeit Bay crude oil | Statement: [Zeit Bay oil field, hasTypeOfCrude, Zeit Bay crude oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfCrude Context triple: [Zeit Bay oil field, hasTypeOfCrude, Zeit Bay crude oil]
-
A.
hasCraneType
Indicates that an entity is associated with or classified by a specific type of crane.
-
B.
hasPetrovType
Indicates that an entity (typically a spacetime or gravitational field) is classified as having a specific Petrov type in the Petrov classification of its Weyl tensor.
-
C.
primaryHydrocarbonType
Indicates the main or dominant type of hydrocarbon associated with an entity, such as a resource, sample, or reservoir.
-
D.
hasTankType
Indicates that an entity is associated with, or classified by, a specific type or category of tank.
-
E.
oilType
chosen
Indicates the specific kind or classification of oil associated with an 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: May 1, 2026, 2:01 a.m.