Triple
T1007705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borobudur Temple |
E21750
|
entity |
| Predicate | numberOfBuddhaStatues |
P22479
|
FINISHED |
| Object | over 500 |
—
|
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: over 500 | Statement: [Borobudur Temple, numberOfBuddhaStatues, over 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfBuddhaStatues Context triple: [Borobudur Temple, numberOfBuddhaStatues, over 500]
-
A.
numberOfSculptures
chosen
Indicates the quantity of sculptures associated with a given entity or context.
-
B.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
-
C.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
D.
numberOfMandalas
Indicates the quantity or count of mandalas associated with a given entity.
-
E.
approximateNumberOfMoai
Indicates that one entity specifies an estimated or approximate count of Moai associated with another entity.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7f4c66c8190b6098fb72c1465a3 |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b7203124819091de68cba5f731c1 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:41 p.m.