Triple
T19240429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kauśika gotra |
E481116
|
entity |
| Predicate | belongsToConcept |
P531
|
FINISHED |
| Object | Hindu gotra system |
—
|
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: Hindu gotra system | Statement: [Kauśika gotra, belongsToConcept, Hindu gotra system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToConcept Context triple: [Kauśika gotra, belongsToConcept, Hindu gotra system]
-
A.
hasSubConcept
Indicates that one concept is a more specific, subordinate, or narrower idea within the scope of another, more general concept.
-
B.
followsInConcept
Indicates that one concept comes after or is derived from another concept in a logical, thematic, or conceptual sequence.
-
C.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
D.
belongsToModule
Indicates that something is a component or part of a specific module within a larger system or structure.
-
E.
belongsToUN
Indicates that an entity is a member of, or formally affiliated with, the United Nations.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faf092fc8190bea90739bf7f6352 |
completed | April 20, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e4dcfae6f081909cc173cf71a5005c |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:26 p.m.