Triple
T17629526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Risoul |
E429937
|
entity |
| Predicate | elevationOfTownHall |
P45909
|
FINISHED |
| Object | 1174 metres |
—
|
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: 1174 metres | Statement: [Risoul, elevationOfTownHall, 1174 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: elevationOfTownHall Context triple: [Risoul, elevationOfTownHall, 1174 metres]
-
A.
elevationAboveTown
Indicates that one location is situated at a higher elevation relative to a specified town.
-
B.
elevationToCathedral
Indicates the formal act or process by which a church is raised in status to become a cathedral.
-
C.
cityHallOf
Indicates that one entity serves as the official city hall building or administrative center for the specified city.
-
D.
elevationApproxMeters
chosen
Indicates the approximate elevation of an entity above sea level, measured in meters.
-
E.
buildingHeightContext
Indicates the contextual or situational factors under which a building’s height is defined, measured, or interpreted.
- 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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbf59dc8190a56aa4a2449b2e2e |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 5:52 a.m.