Triple
T7050667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isipatana |
E163754
|
entity |
| Predicate | AshokanActivity |
P69019
|
FINISHED |
| Object | Construction or enlargement of stupas and monastic structures |
—
|
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: Construction or enlargement of stupas and monastic structures | Statement: [Isipatana, AshokanActivity, Construction or enlargement of stupas and monastic structures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AshokanActivity Context triple: [Isipatana, AshokanActivity, Construction or enlargement of stupas and monastic structures]
-
A.
movedAshokaPillars
Indicates that an entity relocated one or more Ashoka pillars from their original location to a different place.
-
B.
hasRockEdictsOfAshoka
chosen
Indicates that the subject possesses or contains rock edicts issued by Emperor Ashoka.
-
C.
ancientCity
Indicates that the subject is a historically old or long-established city, typically originating from ancient times.
-
D.
eraOfHonouredPersonActivity
Indicates the historical period or era during which the honoured person carried out their notable activities.
-
E.
roleInAkbarsLife
Indicates the specific role, position, or significance that one entity held in relation to Akbar’s life.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:37 p.m.