Triple
T15606677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Figueira da Foz |
E375175
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Biarritz |
E159069
|
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: Biarritz | Statement: [Figueira da Foz, twinnedWith, Biarritz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biarritz Context triple: [Figueira da Foz, twinnedWith, Biarritz]
-
A.
Biarritz
chosen
Biarritz is a renowned seaside resort city on France’s Atlantic coast, famous for its surfing beaches, elegant Belle Époque architecture, and historic status as a fashionable destination for European aristocracy.
-
B.
Toulon
Toulon is a major port city on France’s Mediterranean coast that serves as the principal base of the French Navy.
-
C.
Eysines
Eysines is a suburban commune in southwestern France that forms part of the greater Bordeaux metropolitan area.
-
D.
Brive-la-Gaillarde
Brive-la-Gaillarde is a historic town in the Corrèze department of south-central France, known for its medieval architecture, vibrant market culture, and role as a regional economic center.
-
E.
La Rochelle
La Rochelle is a historic French Atlantic port city that became a major stronghold and refuge for Huguenots during the French Wars of Religion.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e7ec08c8190b3842cf3043aea27 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d3541c8190a5a2aa9730260562 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:13 a.m.