Triple
T1381110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPX |
E29338
|
entity |
| Predicate | hasDerivativeType |
P12825
|
FINISHED |
| Object | index option |
—
|
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: index option | Statement: [SPX, hasDerivativeType, index option]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDerivativeType Context triple: [SPX, hasDerivativeType, index option]
-
A.
hasDerivative
Indicates that one entity is derived, obtained, or produced from another through some transformation, process, or modification.
-
B.
derivationType
chosen
Indicates the specific manner or process by which one entity is derived or obtained from another.
-
C.
hasParType
Indicates that an entity has a specific parent type or category to which it belongs.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
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.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c31b176c8190a896183140c5c8be |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befe343c81909f758440a531b5be |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:59 p.m.