Triple
T25395326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Bajrakitiyabha |
E636274
|
entity |
| Predicate | organizationWorkedFor |
P93741
|
FINISHED |
| Object | Permanent Mission of Thailand to the United Nations in Vienna |
—
|
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: Permanent Mission of Thailand to the United Nations in Vienna | Statement: [Princess Bajrakitiyabha, organizationWorkedFor, Permanent Mission of Thailand to the United Nations in Vienna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationWorkedFor Context triple: [Princess Bajrakitiyabha, organizationWorkedFor, Permanent Mission of Thailand to the United Nations in Vienna]
-
A.
workAt
chosen
Indicates that an entity is employed by or performs work for a particular organization, company, or place.
-
B.
previousCorporateAffiliation
Indicates that an entity was formerly employed by, associated with, or part of a specified corporate organization before its current status or affiliation.
-
C.
workedAs
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
D.
formerEmployer
Indicates that one entity previously employed the other but no longer does so.
-
E.
workedPrimarilyOn
Indicates that an entity devoted the majority of its work, effort, or activity to a particular project, field, or subject.
- 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 1:49 p.m.