Triple
T38575433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNSCOP |
E929387
|
entity |
| Predicate | ArabLeadershipPosition |
P191210
|
FINISHED |
| Object | boycott of the committee |
—
|
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: boycott of the committee | Statement: [UNSCOP, ArabLeadershipPosition, boycott of the committee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ArabLeadershipPosition Context triple: [UNSCOP, ArabLeadershipPosition, boycott of the committee]
-
A.
officeHolderTitleInArabic
Indicates the official title or designation of an office holder expressed in the Arabic language.
-
B.
countryLeaderOf
Indicates that one entity serves as the head of state or government of the specified country.
-
C.
politicalRoleBeforeCaliphate
Indicates that an entity held a specific political position or role prior to the establishment or assumption of the caliphate.
-
D.
hasCountryLeader
Indicates that a specified country is led or governed by a particular leader (such as a president, prime minister, or monarch).
-
E.
headOfGovernmentCountry
Indicates that a person serves as the head of government (e.g., prime minister) of a specified country.
- F. None of above. chosen
Provenance (4 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcdaa2bfc08190beccabb0f1782d0d |
completed | May 7, 2026, 6:32 p.m. |
Created at: May 3, 2026, 4:32 p.m.