Triple
T6968991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrissur Pooram |
E161555
|
entity |
| Predicate | majorFeature |
P69510
|
FINISHED |
| Object | elephant processions |
—
|
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: elephant processions | Statement: [Thrissur Pooram, majorFeature, elephant processions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorFeature Context triple: [Thrissur Pooram, majorFeature, elephant processions]
-
A.
majorFor
Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
-
B.
majorSee
Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
-
C.
majorImport
Indicates that one entity is a primary or significant source of imported goods or resources for another entity.
-
D.
dominatingFeature
chosen
Indicates that one feature stands out as the most prominent or influential characteristic in relation to others.
-
E.
majorArtifact
Indicates that one entity is a primary or highly significant artifact associated with, produced by, or central to the other entity.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db152b2081909271493a5d1469fb |
completed | March 27, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.