Triple
T20693901
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sewu Temple |
E508616
|
entity |
| Predicate | numberOfPerwaraTemples |
P43478
|
FINISHED |
| Object | 240 |
—
|
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: 240 | Statement: [Sewu Temple, numberOfPerwaraTemples, 240]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPerwaraTemples Context triple: [Sewu Temple, numberOfPerwaraTemples, 240]
-
A.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
-
B.
numberOfPagodasInPagodaForest
Indicates the numerical count of pagodas that are present within a given pagoda forest.
-
C.
hasTempleCount
chosen
Indicates that an entity is associated with a specified number of temples.
-
D.
isNumberedTempleOf
Indicates that one entity is a specific, designated temple identified by a particular number within a series or system associated with another entity.
-
E.
numberOfShrines
Indicates the total count of shrines associated with a given entity or context.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6c110c4108190a3ab171df33be194 |
completed | April 21, 2026, 12:13 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:09 p.m.