Triple
T717408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Occitanie |
E14341
|
entity |
| Predicate | hasHistoricCity |
P3786
|
FINISHED |
| Object | Carcassonne |
E90283
|
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: Carcassonne | Statement: [Occitanie, hasHistoricCity, Carcassonne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carcassonne Context triple: [Occitanie, hasHistoricCity, Carcassonne]
-
A.
Carcassonne
chosen
Carcassonne is a historic fortified city in southern France renowned for its medieval citadel with double walls and numerous watchtowers.
-
B.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
C.
Cour Carrée
Cour Carrée is the large, historic square courtyard at the eastern end of the Louvre in Paris, surrounded by classical palace façades that reflect the museum’s origins as a royal residence.
-
D.
Fez
Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
-
E.
Brienne-le-Château
Brienne-le-Château is a commune in northeastern France best known as the town where Napoleon Bonaparte attended military school in his youth.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6666cd4788190ab1ddffa616fdc58 |
completed | March 3, 2026, 4:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.