Triple
T11803899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anandpur Sahib |
E280694
|
entity |
| Predicate | annualPilgrimFootfall_category |
P45240
|
FINISHED |
| Object | hundreds of thousands 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: hundreds of thousands of pilgrims | Statement: [Anandpur Sahib, annualPilgrimFootfall_category, hundreds of thousands of pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: annualPilgrimFootfall_category Context triple: [Anandpur Sahib, annualPilgrimFootfall_category, hundreds of thousands of pilgrims]
-
A.
pilgrimFootfall
Indicates the occurrence or trace of a pilgrim’s steps or movement along a path or at a specific place.
-
B.
pilgrimsPerYearApprox
chosen
Indicates an approximate number of pilgrims who travel to a place within a year.
-
C.
pilgrimageFrequency
Indicates how often an entity undertakes or participates in a pilgrimage.
-
D.
pilgrimageAssociatedWith
Indicates a relationship where a pilgrimage is connected or related to a particular entity, such as a place, person, event, or religious tradition.
-
E.
pilgrimageSeason
Indicates the time period or season during which religious pilgrimages customarily take place.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a658f918819092c2db05fe2ab0ce |
completed | April 10, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69d8a24e9a088190aff7932d1ff93dbf |
completed | April 10, 2026, 7:10 a.m. |
Created at: April 8, 2026, 9:42 p.m.