Triple
T21295010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kulachirai Nayanar |
E524897
|
entity |
| Predicate | numberInNayanmars |
P143628
|
FINISHED |
| Object | 63 |
—
|
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: 63 | Statement: [Kulachirai Nayanar, numberInNayanmars, 63]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInNayanmars Context triple: [Kulachirai Nayanar, numberInNayanmars, 63]
-
A.
numberInMyth
Indicates that a given number appears with some significance or role within a particular myth or mythological narrative.
-
B.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
C.
numberOfPadarthas
Indicates the relationship that specifies how many distinct padarthas (categories or entities) are associated with or contained in a given subject.
-
D.
numberInTevaramTrinity
Indicates the specific numbered position an item holds within the Tevaram Trinity sequence or set.
-
E.
numberOfMandalas
Indicates the quantity or count of mandalas associated with a given entity.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73857784881908c3b8418a4c00c1e |
completed | April 21, 2026, 8:41 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 4:04 p.m.