Triple
T4401743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Langensalza (1761) |
E93633
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Langensalza |
E436920
|
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: Langensalza | Statement: [Battle of Langensalza (1761), namedAfter, Langensalza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langensalza Context triple: [Battle of Langensalza (1761), namedAfter, Langensalza]
-
A.
Langensalza
chosen
Langensalza is a historic town in Thuringia, central Germany, known for its spa facilities and as the site of several notable battles.
-
B.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
-
C.
Waldsassen
Waldsassen is a small town in Bavaria, Germany, known for its historic Cistercian abbey and richly decorated Baroque basilica.
-
D.
Braubach
Braubach is a historic town on the Rhine River in Germany, best known for its well-preserved medieval architecture and the prominent Marksburg Castle overlooking it.
-
E.
Schifflange
Schifflange is a town and commune in southwestern Luxembourg known for its industrial heritage and proximity to the country’s second-largest city, Esch-sur-Alzette.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cf218481908d072fec58361f28 |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6135ecdc08190b2a7458614cf4c54 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:28 p.m.