Triple
T22319289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kriegstetten |
E551737
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Halten |
—
|
NE NERFINISHED |
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: Halten | Statement: [Kriegstetten, neighboringMunicipality, Halten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Halten Context triple: [Kriegstetten, neighboringMunicipality, Halten]
-
A.
Halten
chosen
Halten is a small municipality in the canton of Solothurn in Switzerland.
-
B.
Halt mich
"Halt mich" is a popular German-language song by singer-songwriter Herbert Grönemeyer, known for its emotional lyrics and melodic, introspective style.
-
C.
Ehlhalten
Ehlhalten is a village and district of the town of Eppstein in the Rheingau-Taunus region of Hesse, Germany.
-
D.
Holdaway
Holdaway is a character in Quentin Tarantino's film "Reservoir Dogs," serving as the police handler who recruits the undercover cop known as Mr. Orange.
-
E.
Halutza
Halutza is an ancient Nabatean city in the Negev Desert of southern Israel, known as a key stop on the Incense Route and now an important archaeological site.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e4776588190abb21e5cea79973f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15762fac08190a6a514baffbbbca1 |
completed | April 29, 2026, 12:57 a.m. |
Created at: April 16, 2026, 8:42 p.m.