Triple
T17157937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boxcar |
E416392
|
entity |
| Predicate | hasSceneAssociation |
P2830
|
FINISHED |
| Object | Bay Area punk |
—
|
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: Bay Area punk | Statement: [Boxcar, hasSceneAssociation, Bay Area punk]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSceneAssociation Context triple: [Boxcar, hasSceneAssociation, Bay Area punk]
-
A.
hasPlanningAssociation
Indicates a relationship where one entity is involved with, linked to, or considered in the planning or preparation activities of another entity.
-
B.
hasDimensionAssociation
Indicates an association between an entity and one or more of its dimensions, such as size, length, width, height, or other measurable extents.
-
C.
isAssociatedWith
chosen
Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
-
D.
regionOfAssociation
Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
-
E.
associatedWithAssociation
Indicates a relationship where an entity is linked or connected to a particular association or organization.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f40d7ef08190a587c7c56f5c8569 |
completed | April 18, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69e3830d2a90819092386717dc56f0e8 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:37 a.m.