Triple
T25296442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vittala Temple |
E634228
|
entity |
| Predicate | countryProtectedMonument |
P166573
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Vittala Temple, countryProtectedMonument, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryProtectedMonument Context triple: [Vittala Temple, countryProtectedMonument, yes]
-
A.
naturalMonument
Indicates that something is designated as a natural monument, typically a protected natural feature of special scientific, cultural, or aesthetic significance.
-
B.
modernProtectedArea
Indicates that an area is designated and managed as a contemporary legally recognized protected area under modern conservation frameworks.
-
C.
countryProtectedAreaSystem
Indicates that a country has an established system or network of designated protected areas under its jurisdiction.
-
D.
situatedInProtectedArea
Indicates that an entity is located within the boundaries of a designated protected area (such as a reserve, park, or conservation zone).
-
E.
federalProtectedArea
Indicates that an area is designated and managed as a protected area under federal jurisdiction or authority.
- 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f662a29b3881909957a7e3b986653c |
completed | May 2, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f661b47d088190934f63884a203261 |
completed | May 2, 2026, 8:42 p.m. |
Created at: April 21, 2026, 1:22 p.m.