Triple
T18534184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tirumala Venkateswara Temple |
E452918
|
entity |
| Predicate | pilgrimsPerDayOnPeakDays |
P132039
|
FINISHED |
| Object | over 100,000 |
—
|
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: over 100,000 | Statement: [Tirumala Venkateswara Temple, pilgrimsPerDayOnPeakDays, over 100,000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pilgrimsPerDayOnPeakDays Context triple: [Tirumala Venkateswara Temple, pilgrimsPerDayOnPeakDays, over 100,000]
-
A.
pilgrimsPerYearApprox
Indicates an approximate number of pilgrims who travel to a place within a year.
-
B.
pilgrimFootfall
Indicates the occurrence or trace of a pilgrim’s steps or movement along a path or at a specific place.
-
C.
peakDays
Indicates the days on which something reaches its highest or most intense level of activity, usage, or occurrence.
-
D.
peakDay
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
E.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53400d548819080b17f30b3ee7174 |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.