Triple
T25145124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Nicholas Chapel (Pont Saint-Bénézet) |
E629911
|
entity |
| Predicate | associatedBridge |
P94314
|
FINISHED |
| Object | Pont Saint-Bénézet (Avignon Bridge) |
—
|
NE NERFINISHED |
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: Pont Saint-Bénézet (Avignon Bridge) | Statement: [Saint Nicholas Chapel (Pont Saint-Bénézet), associatedBridge, Pont Saint-Bénézet (Avignon Bridge)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedBridge Context triple: [Saint Nicholas Chapel (Pont Saint-Bénézet), associatedBridge, Pont Saint-Bénézet (Avignon Bridge)]
-
A.
hasBridgeTo
Indicates that one entity is connected to another by a bridge or bridging structure that allows passage or linkage between them.
-
B.
bridgesBetween
Indicates a relationship where something connects or links two otherwise separate entities, contexts, or states, enabling interaction or transition between them.
-
C.
sharesBridgeWith
chosen
Indicates that two entities use or are connected by the same bridge structure.
-
D.
hasNearbyBridge
Indicates that one entity is located close to a bridge associated with or relevant to it.
-
E.
bridgedFrom
Indicates that something serves as a connection or transition originating from a specified source or starting point.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: April 18, 2026, 6:29 a.m.