Triple
T10497494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funiculaire de Pau |
E247576
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Pau city centre |
E49264
|
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: Pau city centre | Statement: [Funiculaire de Pau, connectsWith, Pau city centre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pau city centre Context triple: [Funiculaire de Pau, connectsWith, Pau city centre]
-
A.
Pau
chosen
Pau is a historic city in southwestern France, known as the capital of the Pyrénées-Atlantiques department and for its scenic location near the Pyrenees mountains.
-
B.
Pau
Pau is the Catalan given name of the renowned cellist and conductor Pablo Casals.
-
C.
Pau-Ferro
Pau-Ferro is a neighborhood in the city of Recife, Brazil.
-
D.
Saint-Jean-Pied-de-Port
Saint-Jean-Pied-de-Port is a historic Basque town in southwestern France, renowned as a gateway to the Pyrenees and a major starting point for the Camino de Santiago pilgrimage.
-
E.
Le Boulou
Le Boulou is a small spa town in the Vallespir region of southern France, known for its thermal springs and proximity to the Pyrenees and the Spanish border.
- 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_69d381c309b88190af78aa681cf6a4c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5098d8ac481909c4adedbc4ad1c03 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dcc5816c8190a6a3927797942266 |
completed | April 10, 2026, 11:19 a.m. |
Created at: April 6, 2026, 12:25 p.m.