Triple
T4367620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garland, Texas |
E98814
|
entity |
| Predicate | hasCulturalDiversity |
P38709
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Garland, Texas, hasCulturalDiversity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCulturalDiversity Context triple: [Garland, Texas, hasCulturalDiversity, true]
-
A.
hasDistinctCulturalHeritage
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
-
B.
isMulticulturalCity
chosen
Indicates that a city is characterized by the presence and interaction of multiple cultural, ethnic, or linguistic communities.
-
C.
hasCulturalCommunity
Indicates that an entity is associated with, belongs to, or is part of a specific cultural community.
-
D.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
E.
hasCulturalDevelopment
Indicates that an entity exhibits, contributes to, or is characterized by a particular level or type of cultural growth, expression, or advancement.
- 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_69b3454db3708190aeafd814413c4c3d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35201be7081908808e81634060f95 |
completed | March 12, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69b34f53e3cc8190bf5d4dbe2413bf65 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:17 p.m.