Triple
T14469419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasila, Helsinki |
E358797
|
entity |
| Predicate | hasOfficeDistrict |
P29284
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pasila, Helsinki, hasOfficeDistrict, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficeDistrict Context triple: [Pasila, Helsinki, hasOfficeDistrict, true]
-
A.
hasDistrictOfficeLocation
Indicates that an entity’s district office is located at a specified place or address.
-
B.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
C.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
D.
basedInDistrict
chosen
Indicates that an entity is located or has its primary base of operations within a specific administrative district.
-
E.
hasPrefecturalOffice
Indicates that a given location or administrative unit contains or hosts an official prefectural government office.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f969788190a5114f92d7159aae |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.