Triple
T27158928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peruvudaiyar Kovil |
E682602
|
entity |
| Predicate | hasNandi |
P181040
|
FINISHED |
| Object | large monolithic Nandi statue |
—
|
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: large monolithic Nandi statue | Statement: [Peruvudaiyar Kovil, hasNandi, large monolithic Nandi statue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNandi Context triple: [Peruvudaiyar Kovil, hasNandi, large monolithic Nandi statue]
-
A.
hasNave
Indicates that one entity (typically a building or structure) possesses or includes a nave as a distinct architectural part.
-
B.
hasTali
Indicates that an entity possesses or is equipped with a tali (such as a strap, cord, or similar attachment).
-
C.
hasHonden
Indicates that an entity possesses or includes a honden, typically referring to the main sanctuary building in a Shinto shrine.
-
D.
hasPar
Indicates a relationship where one entity has another entity as its parent.
-
E.
hasSahn
Indicates that an entity possesses or includes a sahn (a courtyard, typically in traditional Islamic or Middle Eastern architecture).
- 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_69eefaceb2a08190b9659b7f730629f5 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: April 27, 2026, 9:17 a.m.