Triple
T4121190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarquinia |
E92615
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Ermont |
E227534
|
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: Ermont | Statement: [Tarquinia, twinnedWith, Ermont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ermont Context triple: [Tarquinia, twinnedWith, Ermont]
-
A.
Ermont
chosen
Ermont is a suburban commune in the northern outskirts of Paris, France, known for its residential character and transport links into the capital.
-
B.
Savoye
Savoye is a French surname most notably associated with the family who commissioned Le Corbusier’s iconic modernist Villa Savoye.
-
C.
Plessis-l'Évêque
Plessis-l'Évêque is a small French commune located in the Seine-et-Marne department in the Île-de-France region, northeast of Paris.
-
D.
Étampes
Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
-
E.
Louveciennes
Louveciennes is a picturesque commune in north-central France, noted for its scenic landscapes that attracted Impressionist painters such as Camille Pissarro.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0203b8c88190b08dd64800a37168 |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10079a408190ae09d3df55ead73c |
completed | March 21, 2026, 3:27 a.m. |
Created at: March 9, 2026, 3:41 p.m.