Triple
T32239386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Großwinternheim |
E823564
|
entity |
| Predicate | administrativeSeatIs |
P761
|
FINISHED |
| Object | Ingelheim am Rhein town administration |
—
|
LITERAL 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: Ingelheim am Rhein town administration | Statement: [Großwinternheim, administrativeSeatIs, Ingelheim am Rhein town administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrativeSeatIs Context triple: [Großwinternheim, administrativeSeatIs, Ingelheim am Rhein town administration]
-
A.
administrativeHeadquarter
Indicates the location that serves as the main administrative center or headquarters for an organization or governing body.
-
B.
headquartersOfOffice
Indicates that a particular location serves as the main headquarters for a specified office or organizational unit.
-
C.
locationOfGoverningBody
Indicates the place where a governing body is based or carries out its official functions.
-
D.
organizationLocatedAt
Indicates that an organization is situated or based at a specific geographic location or address.
-
E.
seatOfGovernment
chosen
Indicates that a location serves as the administrative center where a government exercises its official authority and conducts its primary governing functions.
- F. None of above.
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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd474b7e788190a9bb9b542d878f60 |
completed | May 8, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69fd46d8b2f0819099d92d72c902f60e |
completed | May 8, 2026, 2:13 a.m. |
Created at: May 1, 2026, 12:39 a.m.