Triple
T1403546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thônex |
E31639
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Annemasse |
E93133
|
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: Annemasse | Statement: [Thônex, borders, Annemasse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Annemasse Context triple: [Thônex, borders, Annemasse]
-
A.
Annemasse
chosen
Annemasse is a French town in the Haute-Savoie department near the Swiss border, functioning as a key commuter suburb of Geneva and a regional transport hub.
-
B.
Mondorf-les-Bains
Mondorf-les-Bains is a spa town in southeastern Luxembourg renowned for its thermal baths, wellness facilities, and casino.
-
C.
Valmy
Valmy is a village in northeastern France historically renowned as the site of the pivotal 1792 Battle of Valmy during the French Revolutionary Wars.
-
D.
Haguenau
Haguenau is a historic town in northeastern France’s Alsace region, known for its medieval heritage, cultural traditions, and role as a local economic center.
-
E.
Verdun-sur-le-Doubs
Verdun-sur-le-Doubs is a small commune in eastern France’s Bourgogne-Franche-Comté region, known for its riverside setting at the confluence of the Doubs and Saône and its traditional river-based gastronomy.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3a0330c8190b22452d29c79fcf4 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8aa7cc148190b932b6f1d844b0a5 |
completed | March 8, 2026, 2:41 p.m. |
Created at: March 1, 2026, 7:59 p.m.