Triple
T11843378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CA Portes de France–Thionville |
E281709
|
entity |
| Predicate | includesCommune |
P15149
|
FINISHED |
| Object | Yutz |
E393523
|
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: Yutz | Statement: [CA Portes de France–Thionville, includesCommune, Yutz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yutz Context triple: [CA Portes de France–Thionville, includesCommune, Yutz]
-
A.
Yutz
chosen
Yutz is a commune in northeastern France situated in the Moselle department, known for its residential character and proximity to the city of Thionville.
-
B.
Mezvinsky
Mezvinsky is a surname most prominently associated with the American political family connected to Chelsea Clinton through her husband, Marc Mezvinsky.
-
C.
Yente
Yente is the village matchmaker in the musical "Fiddler on the Roof," known for her gossiping and meddling in the romantic lives of Anatevka’s residents.
-
D.
Zylberman
Zylberman is a surname of likely Ashkenazi Jewish origin borne by individuals such as Bathsheba Zylberman.
-
E.
Tobolowsky
Tobolowsky is the surname of American character actor and storyteller Stephen Tobolowsky, known for his prolific work in film and television.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65a597c8190b09f57463b279afc |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1679729c08190a9f6750586f90d8d |
completed | April 29, 2026, 2:06 a.m. |
Created at: April 8, 2026, 9:43 p.m.