Triple
T2411133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fortified Sector of Haguenau |
E52190
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Haguenau |
E54948
|
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: Haguenau | Statement: [Fortified Sector of Haguenau, namedAfter, Haguenau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haguenau Context triple: [Fortified Sector of Haguenau, namedAfter, Haguenau]
-
A.
Haguenau
chosen
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.
-
B.
Guebwiller
Guebwiller is a commune in northeastern France known for its wine production and location at the foot of the Vosges mountains in the Alsace region.
-
C.
Schiltigheim
Schiltigheim is a suburban commune in northeastern France, located just north of Strasbourg and known historically for its brewing industry.
-
D.
Sarrebourg
Sarrebourg is a small historic town in northeastern France known for its cultural heritage and location in the Moselle department of the Grand Est region.
-
E.
Forbach
Forbach is a town in northeastern France near the German border, known historically for its coal mining industry and cross-border cultural ties.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc928fd608190885fcde6746a06bc |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12ded5f9c8190a0de21b631d970b0 |
completed | March 11, 2026, 8:55 a.m. |
Created at: March 6, 2026, 9:41 p.m.