Triple
T10618417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phusro |
E295181
|
entity |
| Predicate | localLanguage |
P1252
|
FINISHED |
| Object | Khortha |
E295178
|
NE 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: Khortha | Statement: [Phusro, localLanguage, Khortha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khortha Context triple: [Phusro, localLanguage, Khortha]
-
A.
Khortha
chosen
Khortha is an Indo-Aryan language spoken primarily in the Indian state of Jharkhand, where it serves as a major regional vernacular among local communities.
-
B.
Khorta
Khorta is an Indo-Aryan language spoken primarily in the Indian states of Jharkhand and Bihar, closely related to Magahi and Hindi.
-
C.
Kthi
Kthi is the ISO 15924 four-letter code assigned to the Kaithi script used historically for writing several languages of northern India.
-
D.
Krakhuna
Krakhuna is a Georgian white grape variety from the Imereti region, known for producing aromatic, full-bodied wines with pronounced acidity.
-
E.
Khunanup
Khunanup is the eloquent peasant protagonist of an ancient Egyptian literary tale, renowned for his articulate pleas for justice before the authorities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d988474cf0819087516026fd249640 |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 8:19 p.m.