Triple
T36299885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sri Mahankali Temple, Lal Darwaza, Hyderabad |
E893476
|
entity |
| Predicate | primaryDayOfCrowd |
P58829
|
FINISHED |
| Object | Bonalu festival days |
E2178402
|
NE 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: Bonalu festival days | Statement: [Sri Mahankali Temple, Lal Darwaza, Hyderabad, primaryDayOfCrowd, Bonalu festival days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDayOfCrowd Context triple: [Sri Mahankali Temple, Lal Darwaza, Hyderabad, primaryDayOfCrowd, Bonalu festival days]
-
A.
timeOfPeakCrowd
Indicates the specific time period during which the crowd size reaches its maximum level.
-
B.
mainGatheringDay
Indicates the primary day on which a group, organization, or community regularly gathers or meets.
-
C.
peakDay
chosen
Indicates the specific day on which a quantity, activity, or effect reaches its maximum level within a given period.
-
D.
peakDayAttendance
Indicates the number of attendees present on the single highest-attendance day within a given period or event.
-
E.
typicalEventDay
Indicates the day on which an event is normally or most commonly held or occurs.
- F. None of above.
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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39b42196288190b35865fa3c23ea42 |
completed | June 22, 2026, 10:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a0a54cc8190868c1bfa1590d1a6 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:09 p.m.