Triple
T22099334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan de Oro City Government |
E546124
|
entity |
| Predicate | typeOfLGU |
P70885
|
FINISHED |
| Object | highly urbanized city |
—
|
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: highly urbanized city | Statement: [Cagayan de Oro City Government, typeOfLGU, highly urbanized city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLGU Context triple: [Cagayan de Oro City Government, typeOfLGU, highly urbanized city]
-
A.
localGovernmentAreaType
chosen
Indicates the specific classification or category of a local government area within an administrative or governmental hierarchy.
-
B.
hasCityGovernmentType
Indicates the specific form or structure of municipal governance that administers a city.
-
C.
typeOfDistrict
Indicates the specific category or classification to which a given district belongs.
-
D.
hasNumberOfBarangays
Indicates the total count of barangays associated with a given administrative unit or locality.
-
E.
municipalWardType
Indicates the specific category or classification of a municipal ward within a local government or administrative structure.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1291440048190992c48893ced0b34 |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:30 p.m.