Triple
T3459176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauritstoren |
E72979
|
entity |
| Predicate | isGovernmentBuilding |
P9045
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Mauritstoren, isGovernmentBuilding, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isGovernmentBuilding Context triple: [Mauritstoren, isGovernmentBuilding, yes]
-
A.
isGovernmentFacility
chosen
Indicates that the subject entity functions as a facility owned, operated, or officially designated for use by a government or its agencies.
-
B.
hasGovernmentInstitution
Indicates that a given entity possesses, hosts, or is served by a formal governmental body or institution.
-
C.
isMajorOfficeBuildingIn
Indicates that a building is a primary or significant office structure located within a specified geographic or administrative area.
-
D.
isPartOfGovernment
Indicates that an entity belongs to, is included within, or functions as a component of a governmental body or system.
-
E.
hasLegislatureBuilding
Indicates that one entity serves as the official legislature building or physical premises where the legislative body of another entity meets or operates.
- 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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae4c18881908b48d16e46f78209 |
completed | March 8, 2026, 6:07 p.m. |
| PD | Predicate disambiguation | batch_69adae041d588190a84a02bca94adec8 |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:16 p.m.