Triple
T22261186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayodhya Mahatmya |
E550227
|
entity |
| Predicate | viewOfAyodhya |
P147593
|
FINISHED |
| Object | as abode of Rama |
—
|
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: as abode of Rama | Statement: [Ayodhya Mahatmya, viewOfAyodhya, as abode of Rama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOfAyodhya Context triple: [Ayodhya Mahatmya, viewOfAyodhya, as abode of Rama]
-
A.
positionOnAyodhya
Indicates a stance, opinion, or viewpoint that one entity holds regarding the Ayodhya issue or topic.
-
B.
viewOnAyyaVaikundar
Indicates the perspective, interpretation, or doctrinal stance that an entity holds regarding Ayya Vaikundar.
-
C.
viewOnGanesha
Indicates a perspective, opinion, or belief that an entity holds regarding Ganesha.
-
D.
viewOfGoddess
Indicates a relationship where something visually depicts, represents, or shows an image or perspective of a goddess.
-
E.
viewFromTemple
Indicates a spatial relationship where a particular view or scene is observed from the vantage point of a temple.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141b703b081909a2b432463a8e2df |
completed | April 28, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e72fe1e0cc8190bd13cff2a0846225 |
completed | April 21, 2026, 8:05 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:39 p.m.