Triple
T18350616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Priest (The Trial) |
E439657
|
entity |
| Predicate | locationOfKeyScene |
P124600
|
FINISHED |
| Object | cathedral |
—
|
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: cathedral | Statement: [The Priest (The Trial), locationOfKeyScene, cathedral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfKeyScene Context triple: [The Priest (The Trial), locationOfKeyScene, cathedral]
-
A.
hasSceneLocation
chosen
Indicates that a scene or event takes place at, or is set in, a specific location.
-
B.
timeOfKeyScene
Indicates the specific time at which a key or pivotal scene occurs within a larger sequence or event.
-
C.
locatedInAttractionScene
Indicates that one entity is situated within or is part of the setting or scene of an attraction.
-
D.
locationOfSee
Indicates a relationship where a particular place is the setting or site in which an act of seeing or visual perception occurs.
-
E.
climaxLocation
Indicates the place or setting where the most intense or pivotal moment of an event, narrative, or process occurs.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f83b648190b473cf611851c666 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.