Triple
T3613813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare de Bitche |
E76550
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Bitche |
E76550
|
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: Bitche | Statement: [Gare de Bitche, locatedIn, Bitche]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bitche Context triple: [Gare de Bitche, locatedIn, Bitche]
-
A.
Bitche
chosen
Bitche is a small fortified town in northeastern France’s Moselle department, known for its historic citadel and role in regional military history.
-
B.
Mistinguett
Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
-
C.
Cappadonna
Cappadonna is an American rapper best known as a longtime affiliate and later official member of the Wu-Tang Clan.
-
D.
Zaillian
Zaillian is the surname of Steven Zaillian, the acclaimed American screenwriter, director, and producer known for films such as Schindler’s List and Moneyball.
-
E.
Bitch
"Bitch" is a hard-driving rock song by The Rolling Stones, known for its brassy horn section and gritty, riff-heavy sound from their early 1970s period.
- 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_69b44f068e188190bb8c4e098e3153b3 |
completed | March 13, 2026, 5:53 p.m. |
Created at: March 8, 2026, 3:23 p.m.