Triple
T12770926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kusum Sarovar |
E305244
|
entity |
| Predicate | hasTimeOfSpecialAttraction |
P106818
|
FINISHED |
| Object | sunset |
—
|
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: sunset | Statement: [Kusum Sarovar, hasTimeOfSpecialAttraction, sunset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeOfSpecialAttraction Context triple: [Kusum Sarovar, hasTimeOfSpecialAttraction, sunset]
-
A.
returnedAsSeasonalAttraction
Indicates that an entity that was previously unavailable has come back into use or display specifically as a limited-time or seasonal attraction.
-
B.
hasFestivalAttraction
Indicates that a festival includes or features a particular attraction as part of its offerings.
-
C.
openingDayAttractionOf
Indicates that one entity serves as the main or featured attraction for another entity specifically on its opening day.
-
D.
isAttractionFor
Indicates that one entity serves as an attraction or point of interest specifically intended for another entity (such as a person, group, or audience).
-
E.
hasAttractionType
Indicates that one entity is associated with a specific kind or category of attraction (e.g., tourist, cultural, natural).
- F. None of above. chosen
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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df4b36c81909bcc913dd5e535f8 |
completed | April 10, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.