Triple
T18349434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st District of Pampanga |
E439625
|
entity |
| Predicate | isPartOfCongressionalDelegationOf |
P3909
|
FINISHED |
| Object | Pampanga |
—
|
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: Pampanga | Statement: [1st District of Pampanga, isPartOfCongressionalDelegationOf, Pampanga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfCongressionalDelegationOf Context triple: [1st District of Pampanga, isPartOfCongressionalDelegationOf, Pampanga]
-
A.
legislatureServed
Indicates that an individual has served as a member of a specific legislative body during some period of time.
-
B.
representativeOfState
Indicates that an entity serves as an official representative or agent acting on behalf of a particular state or government.
-
C.
isUnicameralComponentOf
Indicates that a legislative body or chamber is a single-chamber (unicameral) part of a larger political or governmental system.
-
D.
congressionalDistrict
chosen
Indicates that one entity is a congressional district that politically represents or geographically contains the other entity.
-
E.
countyRepresented
Indicates that a person or representative serves as the official representative for a particular county in a governing or organizational context.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f7700c8190ae220de870e69304 |
completed | April 19, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69e44fe91bc08190906518e1b120fcf0 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:37 a.m.