Triple
T5004232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courthézon |
E112447
|
entity |
| Predicate | departmentCode |
P9698
|
FINISHED |
| Object | Vaucluse |
E27382
|
NE 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: Vaucluse | Statement: [Courthézon, departmentCode, Vaucluse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaucluse Context triple: [Courthézon, departmentCode, Vaucluse]
-
A.
Vaucluse
chosen
Vaucluse is a department in southeastern France’s Provence-Alpes-Côte d’Azur region, known for its historic towns, vineyards, and picturesque landscapes including the Luberon and Mont Ventoux.
-
B.
Silverwater
Silverwater is a suburb in western Sydney, Australia, known for its industrial areas, correctional complex, and location along the Parramatta River.
-
C.
Mortlake
Mortlake is a riverside suburb in Sydney, Australia, known for its location on the Parramatta River and mix of residential and light industrial areas.
-
D.
Mortlake
Mortlake is a riverside district in southwest London on the River Thames, known as the traditional finishing point of the annual Oxford–Cambridge Boat Race.
-
E.
Rydalmere
Rydalmere is a suburb in Sydney, Australia, situated along the Parramatta River and known for its mix of residential, industrial, and educational facilities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c57f3e88190a3059b6bd9b38a07 |
completed | March 21, 2026, 1:25 p.m. |
Created at: March 20, 2026, 1:35 p.m.