Triple
T2460855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pushkar Fair |
E54529
|
entity |
| Predicate | majorActivity |
P40655
|
FINISHED |
| Object | camel trading |
—
|
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: camel trading | Statement: [Pushkar Fair, majorActivity, camel trading]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorActivity Context triple: [Pushkar Fair, majorActivity, camel trading]
-
A.
majorUse
Indicates that something serves as the primary or most significant use or application of an entity.
-
B.
majorSegmentOf
Indicates that one entity constitutes a principal or most significant part of another larger whole.
-
C.
secondaryActivity
Indicates that an entity engages in an additional, non-primary activity or role alongside its main activity.
-
D.
majorForm
Indicates that one entity is the primary or principal form, version, or manifestation of another entity.
-
E.
majorStatus
Indicates that an entity holds primary or most significant status relative to others in a given context.
- F. None of above. chosen
Provenance (4 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.