Triple
T24048423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stadler Pankow |
E595585
|
entity |
| Predicate | developmentSiteOf |
P154665
|
FINISHED |
| Object | Stadler Rail |
—
|
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: Stadler Rail | Statement: [Stadler Pankow, developmentSiteOf, Stadler Rail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developmentSiteOf Context triple: [Stadler Pankow, developmentSiteOf, Stadler Rail]
-
A.
specialistSiteOf
Indicates that one entity is a specialized facility, location, or site dedicated to serving, supporting, or focusing on the other entity.
-
B.
site
Indicates that one entity is the physical or virtual location where another entity is situated, occurs, or is based.
-
C.
isSiteOf
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
D.
typeSite
Indicates that a site is classified as being of a particular type or category.
-
E.
primarySites
Indicates the main or originating locations associated with an entity, often distinguishing them from secondary or related sites.
- F. None of above. chosen
Provenance (4 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_69e288c06a908190899cad4531f32c9a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d9cedaa08190bf54857de1b312ed |
completed | April 29, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 10:18 p.m.