Triple
T36395074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barangay XXIII |
E896449
|
entity |
| Predicate | hasCityClassification |
P105265
|
FINISHED |
| Object | component 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: component city | Statement: [Barangay XXIII, hasCityClassification, component city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityClassification Context triple: [Barangay XXIII, hasCityClassification, component city]
-
A.
hasUrbanClassification
Indicates that an entity is assigned a specific urban status or category within a defined classification system.
-
B.
hasCityQualifier
Indicates that a city is associated with an additional descriptive qualifier, such as a status, role, or distinguishing attribute.
-
C.
isUrbanAreaOfType
chosen
Indicates that a given area is classified as belonging to a specific type or category of urban area (e.g., city, town, suburb).
-
D.
isCity
Indicates that the subject entity is classified as a city.
-
E.
areClassifiedBy
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
- 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_69f76e52e3108190becf70b090ae7bd6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:10 p.m.