Triple
T33020270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FATA Agencies |
E844888
|
entity |
| Predicate | preMergerRepresentation |
P175923
|
FINISHED |
| Object | separate seats in National Assembly of Pakistan |
—
|
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: separate seats in National Assembly of Pakistan | Statement: [FATA Agencies, preMergerRepresentation, separate seats in National Assembly of Pakistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preMergerRepresentation Context triple: [FATA Agencies, preMergerRepresentation, separate seats in National Assembly of Pakistan]
-
A.
precededByMerger
Indicates that one entity existed or occurred before another as a result of a merger that led to the latter entity.
-
B.
preUnionRepresentation
Indicates that an entity served as a representative or agent for a labor union prior to a specified event or time period.
-
C.
regionBeforeMerger
Indicates that a region existed in its original form prior to being merged into a new or larger administrative or geographic entity.
-
D.
preMergeTribes
Indicates that two or more tribes existed separately before being combined into a single merged tribe.
-
E.
mergerImplemented
Indicates that a planned merger between entities has been fully executed and put into effect.
- 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_69f3494f3b4081909dccf2af34372a26 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:23 a.m.