Triple
T5638839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | campanario (bell wall) |
E124214
|
entity |
| Predicate | bellMounting |
P65352
|
FINISHED |
| Object | fixed bells |
—
|
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: fixed bells | Statement: [campanario (bell wall), bellMounting, fixed bells]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bellMounting Context triple: [campanario (bell wall), bellMounting, fixed bells]
-
A.
sightMounting
Indicates that an entity is equipped with or has a sighting device installed or mounted onto it.
-
B.
typeOfGunMount
Indicates the specific kind or configuration of gun mounting used to support or attach a gun.
-
C.
weaponMount
Indicates that one entity serves as a mounting point or support structure for attaching or holding a weapon on another entity.
-
D.
guardMounting
Indicates the action of assigning or taking up a position for guard duty, typically as part of a scheduled security or watch rotation.
-
E.
mountOf
Indicates that one entity serves as the mount or riding animal/creature used by another entity.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c02283bb248190b29ac6255c78c5ec |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f0727bc8190b16e9a669c04b4dd |
completed | March 22, 2026, 4:55 p.m. |
Created at: March 22, 2026, 3:41 p.m.