Triple
T22092209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deer Park at Sarnath |
E545938
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Isipatana |
—
|
NE NERFINISHED |
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: Isipatana | Statement: [Deer Park at Sarnath, alsoKnownAs, Isipatana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Isipatana Context triple: [Deer Park at Sarnath, alsoKnownAs, Isipatana]
-
A.
Isipatana
chosen
Isipatana is the ancient name of the deer park near Varanasi where Gautama Buddha is said to have delivered his first sermon, setting in motion the Wheel of Dharma.
-
B.
Kapoeta
Kapoeta is a town in southeastern South Sudan that serves as an important local center for trade and administration in the Equatoria region.
-
C.
Niiza
Niiza is a city in Saitama Prefecture, Japan, located in the Greater Tokyo metropolitan area and known primarily as a residential and commuter town.
-
D.
Kasangati
Kasangati is a town in central Uganda that serves as a growing commercial and residential hub within the Greater Kampala metropolitan area.
-
E.
Itumbiara
Itumbiara is a municipality in the Brazilian state of Goiás, known for its strategic location on the Paranaíba River and its role as a regional economic and transportation hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.