Triple
T3495153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Maple |
E73831
|
entity |
| Predicate | partOfScene |
P48736
|
FINISHED |
| Object | Chicago underground rock scene |
—
|
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: Chicago underground rock scene | Statement: [US Maple, partOfScene, Chicago underground rock scene]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfScene Context triple: [US Maple, partOfScene, Chicago underground rock scene]
-
A.
performedInSceneType
Indicates that an action or event was carried out within a scene of a specified type or category.
-
B.
roleInScene
Indicates that an entity participates in a particular scene with a specific role or function within that scene.
-
C.
partOfEvent
Indicates that one entity is a component, segment, or sub-activity that belongs to or occurs within a larger event.
-
D.
notableScene
Indicates that a particular scene is especially significant, memorable, or noteworthy within a work or context.
-
E.
hasInfluenceFromScene
Indicates that something is affected, shaped, or guided by the characteristics or context of a particular scene.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb055ed2481908171effe28151cf9 |
completed | March 8, 2026, 5:22 p.m. |
Created at: March 8, 2026, 3:18 p.m.