Triple
T38018638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visakha Bucha |
E948561
|
entity |
| Predicate | typicalActivityLocation |
P1164
|
FINISHED |
| Object | Buddhist temples |
—
|
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: Buddhist temples | Statement: [Visakha Bucha, typicalActivityLocation, Buddhist temples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalActivityLocation Context triple: [Visakha Bucha, typicalActivityLocation, Buddhist temples]
-
A.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
B.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
C.
activityLocation
Indicates the place or setting where an activity occurs or is carried out.
-
D.
possiblePlaceOfActivity
Indicates that a location is a plausible or candidate site where the referenced entity may carry out or have carried out an activity.
-
E.
buildingActivityLocation
Indicates the location where a building-related activity takes place or is carried out.
- 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_69f76efc10448190aff5fb566b98f952 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:20 p.m.