Triple
T3613853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitche |
E76551
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Bitchoises |
E374098
|
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: Bitchoises | Statement: [Bitche, hasDemonym, Bitchoises]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bitchoises Context triple: [Bitche, hasDemonym, Bitchoises]
-
A.
Bitchois
chosen
Bitchois is the French demonym for inhabitants of the town of Bitche in northeastern France.
-
B.
Freuchie
Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
-
C.
Bachué
Bachué is a principal mother goddess in Muisca mythology, associated with creation, fertility, and the origin of humanity.
-
D.
Chiers
The Chiers is a river in Western Europe that flows through Luxembourg, Belgium, and France before joining the Meuse.
-
E.
Orlysiens
Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
- 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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc279f6948190b9655a4cf3e77d89 |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4882d20fc819082c0b640cddce269 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:23 p.m.