Triple
T34424782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Udupi Sri Krishna Temple |
E883637
|
entity |
| Predicate | paryayaTermLength |
P48410
|
FINISHED |
| Object | 2 years |
—
|
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: 2 years | Statement: [Udupi Sri Krishna Temple, paryayaTermLength, 2 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paryayaTermLength Context triple: [Udupi Sri Krishna Temple, paryayaTermLength, 2 years]
-
A.
positionTermLength
chosen
Indicates the duration or length of time associated with holding a particular position or role.
-
B.
headTermLength
Indicates that a term (such as a word or phrase) has a specified length, typically measured in characters or tokens.
-
C.
termLength
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
-
D.
extensionLength
Indicates the length or magnitude of an extension from a reference point or base object.
-
E.
clauseLength
Indicates the length or number of components in a clause within a larger structure or statement.
- 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_69f349c3dd2c819092cc9e64809f4a42 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71947ad88819082ab9d85dd493b01 |
completed | May 3, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 2 a.m.