Triple
T14985506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiksey Monastery |
E373689
|
entity |
| Predicate | GustorFestivalHeldInMonth |
P3113
|
FINISHED |
| Object | October |
—
|
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: October | Statement: [Thiksey Monastery, GustorFestivalHeldInMonth, October]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: GustorFestivalHeldInMonth Context triple: [Thiksey Monastery, GustorFestivalHeldInMonth, October]
-
A.
festivalSeason
Indicates that a time period is designated or recognized as the season during which a particular festival or set of festivals takes place.
-
B.
festivalHeldIn
Indicates that a festival takes place or is hosted at a specific location or venue.
-
C.
festivalFoundedIn
Indicates that a festival was established or created in a specific year or time period.
-
D.
hasFestival
chosen
Indicates that a location, community, or entity hosts or holds a festival or celebratory event.
-
E.
isOnlyMonthWithNoFestivals
Indicates that the specified month is the unique month in a given context during which no festivals occur.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6ff4a7c8190ab7554f3a1a09b67 |
completed | April 15, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69de9a6169b48190a679609febd2d0e3 |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:52 a.m.