Triple
T25302848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mt Owen |
E634396
|
entity |
| Predicate | filmLocationScene |
P44217
|
FINISHED |
| Object | exit from the Mines of Moria |
—
|
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: exit from the Mines of Moria | Statement: [Mt Owen, filmLocationScene, exit from the Mines of Moria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmLocationScene Context triple: [Mt Owen, filmLocationScene, exit from the Mines of Moria]
-
A.
filmLocationFor
Indicates a relationship where a specific place serves as the filming location for a particular film or production.
-
B.
filmSceneType
Indicates the type or category of a scene within a film, such as its narrative function, style, or setting.
-
C.
filmingLocationContext
chosen
Indicates the contextual relationship specifying where the filming of an event, scene, or production took place.
-
D.
placeOfShooting
Indicates the location where a shooting event took place.
-
E.
filmLocationTime
Indicates that a film was shot at a particular location during a specific time or time period.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f493968b5c8190bc0108a23b81b38a |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:25 p.m.