Triple
T5686870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brahma temple (Prambanan) |
E125334
|
entity |
| Predicate | hasMainSanctum |
P65786
|
FINISHED |
| Object | garbhagriha |
—
|
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: garbhagriha | Statement: [Brahma temple (Prambanan), hasMainSanctum, garbhagriha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainSanctum Context triple: [Brahma temple (Prambanan), hasMainSanctum, garbhagriha]
-
A.
hasOldSanctuary
Indicates that an entity possesses or is associated with an old or former sanctuary.
-
B.
hasSanctuary
Indicates that one entity provides or serves as a place of refuge, protection, or safe haven for another entity.
-
C.
hasNewSanctuary
Indicates that an entity has acquired or established a new sanctuary location or protected refuge.
-
D.
hasAltar
Indicates that one entity possesses, contains, or includes an altar as part of its features or components.
-
E.
hasMainHall
Indicates that an entity possesses or includes a primary or central hall as a significant internal space.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c024861bc88190a17782c1982fbb3e |
completed | March 22, 2026, 5:19 p.m. |
Created at: March 22, 2026, 3:44 p.m.