Triple
T26351958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Five Ascetics |
E662924
|
entity |
| Predicate | locationOfFirstTeachingReceived |
P61242
|
FINISHED |
| Object | Sarnath |
—
|
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: Sarnath | Statement: [Five Ascetics, locationOfFirstTeachingReceived, Sarnath]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfFirstTeachingReceived Context triple: [Five Ascetics, locationOfFirstTeachingReceived, Sarnath]
-
A.
educationLocation
Indicates the place or institution where an entity received education or underwent formal learning.
-
B.
firstTaughtIn
chosen
Indicates the time or place at which something (such as a concept, subject, or course) was initially taught or introduced in an instructional context.
-
C.
firstTaughtAt
Indicates the institution or place where an entity (typically a person) began their teaching career or taught for the first time.
-
D.
educationalInstitutionServed
Indicates that one entity provides services, support, or resources to a particular educational institution.
-
E.
schoolAttended
Indicates that one entity has attended, or been enrolled as a student at, the school represented by the other entity.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 26, 2026, 10:46 p.m.