Triple
T13266302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bakhtawar Bhutto Zardari |
E315932
|
entity |
| Predicate | relativeOffice |
P38798
|
FINISHED |
| Object | Chairman of Pakistan Peoples Party |
—
|
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: Chairman of Pakistan Peoples Party | Statement: [Bakhtawar Bhutto Zardari, relativeOffice, Chairman of Pakistan Peoples Party]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relativeOffice Context triple: [Bakhtawar Bhutto Zardari, relativeOffice, Chairman of Pakistan Peoples Party]
-
A.
otherOffice
Indicates that one office is an alternative or additional office associated with the same organization, person, or entity as another office.
-
B.
comparableOffice
Indicates that two offices are sufficiently similar in relevant characteristics (such as size, function, or status) to be meaningfully compared to each other.
-
C.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
-
D.
officeIsIn
Indicates that one office is located within or inside another specified place or building.
-
E.
hasRelativeInOffice
chosen
Indicates that one entity has a family member who holds or held a particular office or official position.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.