Triple
T29584490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Director-General of the United Nations Office at Nairobi |
E753683
|
entity |
| Predicate | oneOfFourMainOffices |
P17491
|
FINISHED |
| Object | United Nations Office at Nairobi |
—
|
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: United Nations Office at Nairobi | Statement: [Director-General of the United Nations Office at Nairobi, oneOfFourMainOffices, United Nations Office at Nairobi]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfFourMainOffices Context triple: [Director-General of the United Nations Office at Nairobi, oneOfFourMainOffices, United Nations Office at Nairobi]
-
A.
mainOffice
Indicates that one location or office serves as the primary or central office for an organization or entity.
-
B.
hasNumberOfRegionalOffices
Indicates the quantity of regional offices that an entity possesses or operates.
-
C.
numberOfOffices
Indicates the total count of offices associated with a given entity.
-
D.
oneOfFourMainUNOffices
chosen
Indicates that an entity is one of the four principal main offices of the United Nations.
-
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_69f0ef80bf8c8190ad286e99f7df0c63 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f676f968d08190a4adba0439b438c9 |
completed | May 2, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69f675ff62c48190a634bbb8896973b9 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 28, 2026, 6:09 p.m.