Triple
T36037545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aluvihare Rock Temple |
E1042446
|
entity |
| Predicate | writingMediumUsed |
P48838
|
FINISHED |
| Object | ola leaves |
—
|
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: ola leaves | Statement: [Aluvihare Rock Temple, writingMediumUsed, ola leaves]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writingMediumUsed Context triple: [Aluvihare Rock Temple, writingMediumUsed, ola leaves]
-
A.
writingMaterialType
Indicates the type or category of material used for writing (e.g., paper, parchment, digital medium) associated with an entity or activity.
-
B.
editingMedium
Indicates the medium or format through which an editing action is performed or realized.
-
C.
manuscriptMedium
chosen
Indicates the material or physical medium on which a manuscript is written or produced.
-
D.
writesForMedium
Indicates that one entity creates written content intended for publication on a particular medium or platform.
-
E.
usedMedium
Indicates that an action or communication was carried out through a particular medium or channel.
- 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_69f7ad1bf27081909683fa99a367f556 |
completed | May 3, 2026, 8:16 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.