Triple
T34234430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barangay XIV |
E878293
|
entity |
| Predicate | isUrbanOrRuralBarangay |
P131788
|
FINISHED |
| Object | unknown |
—
|
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: unknown | Statement: [Barangay XIV, isUrbanOrRuralBarangay, unknown]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUrbanOrRuralBarangay Context triple: [Barangay XIV, isUrbanOrRuralBarangay, unknown]
-
A.
isUrbanBarangay
chosen
Indicates that a given barangay is classified as urban rather than rural.
-
B.
isRuralOrUrban
Indicates whether an entity is classified as being in a rural area or an urban area.
-
C.
hasUrbanBarangays
Indicates that a place or administrative unit possesses one or more barangays classified as urban.
-
D.
isHighlyUrbanizedCityBarangay
Indicates that a barangay is located within a city and exhibits a high degree of urban development and urban characteristics.
-
E.
isRuralCity
Indicates that a city is characterized by rural features or is located within a predominantly rural area.
- 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_69f349b22d8c819096b22df268382aa9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710b492f481908ee1b0a76011733c |
completed | May 3, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:56 a.m.