Triple
T17016779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tondo, Manila, Philippines |
E412840
|
entity |
| Predicate | hasUrbanCulture |
P3114
|
FINISHED |
| Object | vibrant |
—
|
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: vibrant | Statement: [Tondo, Manila, Philippines, hasUrbanCulture, vibrant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanCulture Context triple: [Tondo, Manila, Philippines, hasUrbanCulture, vibrant]
-
A.
hasUrbanInfluence
Indicates that one entity exerts or reflects the characteristics, impact, or style of an urban area on another entity.
-
B.
hasCulturalFeature
chosen
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
C.
hasUrbanFeature
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
-
D.
hasCulturalDevelopment
Indicates that an entity exhibits, contributes to, or is characterized by a particular level or type of cultural growth, expression, or advancement.
-
E.
hasUrbanLifestyle
Indicates that an entity lives or behaves in a manner characteristic of a city environment, typically involving dense population, modern infrastructure, and urban social or cultural patterns.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47fec248190bf261cac920291b1 |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.