Triple
T36704988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carnaza |
E906331
|
entity |
| Predicate | localGovernmentUnitLevel |
P70885
|
FINISHED |
| Object | barangay |
—
|
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: barangay | Statement: [Carnaza, localGovernmentUnitLevel, barangay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localGovernmentUnitLevel Context triple: [Carnaza, localGovernmentUnitLevel, barangay]
-
A.
levelOfGovernment
Indicates the specific tier or layer within a governmental hierarchy (e.g., local, regional, national) at which an entity operates or an action is taken.
-
B.
hasLocalGovernmentTier
Indicates that one administrative unit is organized or governed at a specific level within a multi-tier local government structure.
-
C.
localGovernmentAreaOf
Indicates that one entity is the local government area within whose jurisdiction or administrative boundaries the other entity is located.
-
D.
localGovernmentAreaType
chosen
Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
-
E.
lowestAdministrativeLevel
Indicates that the subject entity is at the smallest or most granular administrative division within a given territorial or organizational hierarchy.
- 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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:12 p.m.