Triple
T4034345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNON |
E83790
|
entity |
| Predicate | typeOfHeadquarters |
P4474
|
FINISHED |
| Object | UN duty station |
—
|
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: UN duty station | Statement: [UNON, typeOfHeadquarters, UN duty station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHeadquarters Context triple: [UNON, typeOfHeadquarters, UN duty station]
-
A.
hasHeadquartersType
chosen
Indicates the specific kind or classification of headquarters associated with an entity.
-
B.
organizationHeadquarteredInCountry
Indicates that an organization’s main headquarters or principal place of business is located within a specified country.
-
C.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
D.
continentHeadquarters
Indicates that an entity’s main headquarters is located on a specified continent.
-
E.
establishesHeadquartersOf
Indicates that an entity selects and sets up the main administrative or operational center (headquarters) for another entity.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb11d92481909aaebbc250ff45b9 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fe440c819093a7fa22c4ff3f1a |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.