Triple
T11852209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banisilan |
E281934
|
entity |
| Predicate | hasElectoralDistrictType |
P1680
|
FINISHED |
| Object | Philippine legislative district |
—
|
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: Philippine legislative district | Statement: [Banisilan, hasElectoralDistrictType, Philippine legislative district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasElectoralDistrictType Context triple: [Banisilan, hasElectoralDistrictType, Philippine legislative district]
-
A.
electoralDistrictType
chosen
Indicates the specific category or kind of electoral district associated with an entity (e.g., federal, state, local).
-
B.
hasElectoralDistricts
Indicates that a political or administrative unit is divided into one or more electoral districts used for representation or voting.
-
C.
hasElectoralRollType
Indicates the specific category or type of electoral roll associated with an entity, such as general, special, or supplementary voter lists.
-
D.
hasElectoralUnit
Indicates that a political or administrative entity is associated with a specific electoral unit used for voting or representation.
-
E.
typeOfDistrict
Indicates the specific category or classification to which a given district belongs.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:43 p.m.