Triple
T35613710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNDCO |
E1029106
|
entity |
| Predicate | hasOfficeAtLevel |
P146134
|
FINISHED |
| Object | global level |
—
|
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: global level | Statement: [UNDCO, hasOfficeAtLevel, global level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficeAtLevel Context triple: [UNDCO, hasOfficeAtLevel, global level]
-
A.
hasOffice
Indicates that an entity possesses or maintains an office at a particular location or within a specific organization.
-
B.
notableOfficeLevel
chosen
Indicates that an entity holds or is associated with a notable office or position at a specified hierarchical level.
-
C.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
D.
servesAsOfficeOf
Indicates that one entity functions as the official office, headquarters, or administrative base for another entity.
-
E.
headquartersOfOffice
Indicates that a particular location serves as the main headquarters for a specified office or organizational unit.
- 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_69f76e0709408190bbe322bf1707ef6b |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:05 p.m.