Triple
T23452832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lippstadt |
E567830
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Brive-la-Gaillarde |
—
|
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: Brive-la-Gaillarde | Statement: [Lippstadt, hasTwinTown, Brive-la-Gaillarde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brive-la-Gaillarde Context triple: [Lippstadt, hasTwinTown, Brive-la-Gaillarde]
-
A.
Brive-la-Gaillarde
chosen
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.
-
B.
Clermont-Ferrand
Clermont-Ferrand is a central French city known for its historic cathedral built of black volcanic stone and as the longtime headquarters of the tire company Michelin.
-
C.
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.
-
D.
Clermont-Tonnerre
Clermont-Tonnerre is the name of a prominent French noble family historically associated with politics, the military, and the aristocracy.
-
E.
Niort
Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a694f19081909117bc9b10ca8a83 |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:52 p.m.