Triple
T27782648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texaco gas station (Hill Valley) |
E699373
|
entity |
| Predicate | setDecorationType |
P81925
|
FINISHED |
| Object | period gas station set |
—
|
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: period gas station set | Statement: [Texaco gas station (Hill Valley), setDecorationType, period gas station set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setDecorationType Context triple: [Texaco gas station (Hill Valley), setDecorationType, period gas station set]
-
A.
setDecoration
chosen
Indicates assigning or updating a decorative property or appearance for a target entity or object.
-
B.
typeOfDecoration
Indicates the specific kind or style of decoration associated with an entity or applied in a given context.
-
C.
decorationClass
Indicates that one entity serves as a decorative classification or style category applied to another entity.
-
D.
valorDecoration
Indicates that an entity has been awarded a decoration or honor specifically in recognition of acts of valor or bravery.
-
E.
decorationContext
Indicates the situational or environmental setting in which a decoration is used, applied, or intended to be perceived.
- 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_69ef6a4b5a9081909c9111396c2be3d2 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f637cf6d248190a86a85cfeba3719b |
completed | May 2, 2026, 5:43 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 5:11 p.m.