Triple
T36037560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aluvihare Rock Temple |
E1042446
|
entity |
| Predicate | languageOfScriptureWritten |
P142456
|
FINISHED |
| Object | Pali |
—
|
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: Pali | Statement: [Aluvihare Rock Temple, languageOfScriptureWritten, Pali]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfScriptureWritten Context triple: [Aluvihare Rock Temple, languageOfScriptureWritten, Pali]
-
A.
hasLanguageOfScripture
Indicates that an entity’s scriptural or sacred texts are written or expressed in a specified language.
-
B.
languageOfScripturalTradition
chosen
Indicates the language in which a given scriptural or religious textual tradition is expressed or transmitted.
-
C.
scripturalLanguageName
Indicates the name of the language in which a given scripture or sacred text is written.
-
D.
languageOfManuscript
Indicates the language in which a given manuscript is written.
-
E.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
- 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_69f76e2d7e8c8190bac4e90734566799 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00d8ba18808190976682088a02a9a8 |
completed | May 10, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a00d85fad64819084f424ec8ecd3b57 |
completed | May 10, 2026, 7:11 p.m. |
Created at: May 3, 2026, 4:07 p.m.