Triple
T28913429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KSHMR |
E733290
|
entity |
| Predicate | hasKashmiriHeritage |
P1494
|
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: [KSHMR, hasKashmiriHeritage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKashmiriHeritage Context triple: [KSHMR, hasKashmiriHeritage, true]
-
A.
hasHeritage
chosen
Indicates that an entity possesses or is associated with a particular cultural, ethnic, or ancestral background.
-
B.
hasDistinctCulturalHeritage
Indicates that an entity possesses a unique cultural background, traditions, or practices that distinguish it from other entities.
-
C.
hasCulturalLegacyIn
Indicates that an entity has left a lasting cultural influence, impact, or heritage within a particular place, community, or cultural context.
-
D.
hasHeritageRegion
Indicates that an entity is associated with, originates from, or is culturally linked to a specific heritage region.
-
E.
hasHeritageFocus
Indicates that something is primarily concerned with, dedicated to, or centered around heritage-related themes, values, or preservation.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ae010408190b5a2795bf9b3d06f |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:12 a.m.