Triple
T20770770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ganesh Shankar Vidyarthi |
E511223
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Atarra |
—
|
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: Atarra | Statement: [Ganesh Shankar Vidyarthi, placeOfBirth, Atarra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atarra Context triple: [Ganesh Shankar Vidyarthi, placeOfBirth, Atarra]
-
A.
Atarra
chosen
Atarra is a town in the Banda district of Uttar Pradesh, India, known as a local center for trade, education, and administration in the region.
-
B.
Aratere
Aratere is a roll-on/roll-off passenger and vehicle ferry operating across New Zealand’s Cook Strait as part of the Interislander service.
-
C.
Attah
Attah is the surname of Ghanaian actor Abraham Attah, known for his acclaimed debut role in the film "Beasts of No Nation."
-
D.
Atar
Atar is a central figure in the opera "Axur, re d'Ormus," around whom much of the drama and conflict of the story revolves.
-
E.
Atarib
Atarib is a town in northwestern Syria known for its strategic location and significant role in the Syrian civil conflict.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c266f4b48190891c0db3e322bb23 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.