Triple
T17980547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seven Hills (Tirumala) |
E449589
|
entity |
| Predicate | devoteesPerYear |
P45240
|
FINISHED |
| Object | millions of pilgrims |
—
|
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 pilgrims | Statement: [Seven Hills (Tirumala), devoteesPerYear, millions of pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: devoteesPerYear Context triple: [Seven Hills (Tirumala), devoteesPerYear, millions of pilgrims]
-
A.
devoteesSeek
Indicates that devoted followers actively seek out, pursue, or strive to approach the object of their devotion.
-
B.
receivesDevoteesFrom
Indicates that an entity (such as a place, person, or institution) is the destination to which devotees come or are directed from another entity.
-
C.
pilgrimsPerYearApprox
chosen
Indicates an approximate number of pilgrims who travel to a place within a year.
-
D.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a pilgrimage.
-
E.
hasApproximateAdherents
Indicates that an entity is associated with a non-exact, estimated number of adherents or followers.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b202aab88190b44851808c75a848 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.