Triple
T14415551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pully |
E357440
|
entity |
| Predicate | hasInternationalOrganizationOffices |
P9395
|
FINISHED |
| Object | various international organizations |
—
|
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: various international organizations | Statement: [Pully, hasInternationalOrganizationOffices, various international organizations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalOrganizationOffices Context triple: [Pully, hasInternationalOrganizationOffices, various international organizations]
-
A.
hasInternationalOrganizationOffice
chosen
Indicates that an international organization maintains an official office or physical presence at a given location.
-
B.
hasInternationalOffice
Indicates that an entity maintains an official office or branch located in a foreign country.
-
C.
hasGlobalOffices
Indicates that an entity maintains offices or physical business locations in multiple countries or regions around the world.
-
D.
hasInternationalOrganizationRole
Indicates that an entity holds or has held a specific role, position, or function within an international organization.
-
E.
numberOfCountryOffices
Indicates the total count of offices or branches that an organization maintains across different countries.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cc99208190a2313b1acfb5d802 |
completed | April 14, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69de5c30467881908e770e3940295641 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:17 a.m.