Triple
T21109788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Film Festival of India |
E520140
|
entity |
| Predicate | permanentVenueFrom |
P17127
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [International Film Festival of India, permanentVenueFrom, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: permanentVenueFrom Context triple: [International Film Festival of India, permanentVenueFrom, 2004]
-
A.
usualVenueSince
chosen
Indicates that a particular venue has been the regular or customary location for something (e.g., an event or activity) starting from a specified point in time.
-
B.
previousVenue
Indicates that one venue was used or occupied before another in a sequence of venues.
-
C.
earlyVenue
Indicates that an event or activity takes place at a venue earlier than a standard, expected, or comparative time.
-
D.
startVenue
Indicates the venue or location where an event, journey, or activity begins.
-
E.
hostVenueInstanceOf
Indicates that a specific host venue is an instance or concrete realization of a more general venue type or category.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7210110a48190a6359b6732f6293d |
completed | April 21, 2026, 7:02 a.m. |
| PD | Predicate disambiguation | batch_69e5dbff56848190a03b350a9305c612 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 2:54 p.m.