Triple
T24760588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osdorp |
E619426
|
entity |
| Predicate | partOfCitySector |
P37938
|
FINISHED |
| Object | western part of Amsterdam |
—
|
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: western part of Amsterdam | Statement: [Osdorp, partOfCitySector, western part of Amsterdam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCitySector Context triple: [Osdorp, partOfCitySector, western part of Amsterdam]
-
A.
inCityDistrict
Indicates that one entity is located within the boundaries of a specific city district.
-
B.
regionOfCity
chosen
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
-
C.
targetCityDistrict
Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
-
D.
sectorOfGovernedEntity
Indicates the economic or administrative sector to which a governed entity (such as a jurisdiction or organization under governance) belongs.
-
E.
isMunicipalSectorOf
Indicates that one entity is a municipal-level subdivision, department, or sector that forms part of the organizational structure of another entity (typically a municipality or local government).
- 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f5f6baf2d48190a6a4cd6501be87d2 |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 18, 2026, 4:27 a.m.