Triple
T8739255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamuna ghats |
E207460
|
entity |
| Predicate | timePeriodOfMajorCrowds |
P16254
|
FINISHED |
| Object | Kartika month |
—
|
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: Kartika month | Statement: [Yamuna ghats, timePeriodOfMajorCrowds, Kartika month]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfMajorCrowds Context triple: [Yamuna ghats, timePeriodOfMajorCrowds, Kartika month]
-
A.
timePeriodOfMajorOutbreak
Indicates the time span during which a major outbreak occurred or was most active.
-
B.
timePeriodOfLargestCommunity
Indicates the time period during which the community associated with an entity was at its largest size.
-
C.
timePeriodOfMajorImportance
chosen
Indicates that a particular time period holds significant importance or prominence within a given context or domain.
-
D.
hasEventDayCrowdManagement
Indicates that specific crowd management measures or responsibilities are associated with the day on which an event takes place.
-
E.
timePeriodOfMajorDestruction
Indicates the time span during which a major destructive event affecting the subject occurred.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69cc457322b481908712a9630a17b954 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:38 p.m.