Triple
T10406206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahamaham festival |
E245268
|
entity |
| Predicate | crowdSize |
P58523
|
FINISHED |
| Object | hundreds of thousands of devotees |
—
|
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 devotees | Statement: [Mahamaham festival, crowdSize, hundreds of thousands of devotees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crowdSize Context triple: [Mahamaham festival, crowdSize, hundreds of thousands of devotees]
-
A.
hasCrowdLevel
Indicates the degree or intensity of how crowded a place, event, or situation is.
-
B.
crowdWas
Indicates that a crowd possessed or exhibited a particular state, quality, or condition.
-
C.
peopleCountDescriptor
chosen
Indicates how the number of people involved in a situation, group, or context is characterized or described.
-
D.
crowdAction
Indicates an action or behavior performed collectively by a group of individuals acting as a crowd.
-
E.
clubSize
Indicates the number of members or participants in a given club.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e78008819088f0ffba78471509 |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb438c481908dff87c47de2f069 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:08 p.m.