Triple
T4513564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brahmotsavam |
E102103
|
entity |
| Predicate | pilgrimCountApprox |
P45240
|
FINISHED |
| Object | millions of devotees |
—
|
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: millions of devotees | Statement: [Brahmotsavam, pilgrimCountApprox, millions of devotees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimCountApprox Context triple: [Brahmotsavam, pilgrimCountApprox, millions of devotees]
-
A.
pilgrimsPerYearApprox
chosen
Indicates an approximate number of pilgrims who travel to a place within a year.
-
B.
pilgrimCapacity
Indicates the maximum number of pilgrims that an entity (such as a facility, vehicle, or location) is designed or allowed to accommodate.
-
C.
primaryPilgrims
Indicates that the referenced entities are the main or principal participants undertaking a pilgrimage in relation to something or someone.
-
D.
estimatedEmigrants
Indicates the estimated number of people who have left a place or country to live elsewhere.
-
E.
hasPopulationApproximate
Indicates that an entity has an estimated or approximate population size, rather than an exact count.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd572402f481908151f7899bc96306 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.