Triple
T37639661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commonwealth, Quezon City |
E936579
|
entity |
| Predicate | partOfCityDistrictGrouping |
P143741
|
FINISHED |
| Object | northern Quezon City urban area |
—
|
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: northern Quezon City urban area | Statement: [Commonwealth, Quezon City, partOfCityDistrictGrouping, northern Quezon City urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfCityDistrictGrouping Context triple: [Commonwealth, Quezon City, partOfCityDistrictGrouping, northern Quezon City urban area]
-
A.
targetCityDistrict
Indicates that one entity is a specific city district that serves as the target or destination in relation to another entity.
-
B.
inCityDistrict
chosen
Indicates that one entity is located within the boundaries of a specific city district.
-
C.
cityDistrictType
Indicates the type or classification of a city district within an urban or administrative structure.
-
D.
hasCityDistrictCode
Indicates that a city district is associated with a specific identifying code.
-
E.
hasCityDistrictAlong
Indicates that a city district is located along or adjacent to a specified linear feature, such as a road, river, or coastline.
- 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_69f76ed31d8881908405da6c6d2f0463 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a018c6b7178819097d5450a1e3c2408 |
completed | May 11, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_6a018a4f741c8190babe721a908e2f5e |
completed | May 11, 2026, 7:50 a.m. |
Created at: May 3, 2026, 4:18 p.m.