Triple
T13294525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giridih |
E316646
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Khorthā |
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: Khorthā | Statement: [Giridih, language, Khorthā]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khorthā Context triple: [Giridih, language, Khorthā]
-
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.
Kthi
Kthi is the ISO 15924 four-letter code assigned to the Kaithi script used historically for writing several languages of northern India.
-
C.
Khorta
Khorta is an Indo-Aryan language spoken primarily in the Indian states of Jharkhand and Bihar, closely related to Magahi and Hindi.
-
D.
Khuzhir
Khuzhir is the main village and tourist hub on Olkhon Island in Lake Baikal, Russia, known for its proximity to the sacred Shaman Rock and dramatic Siberian landscapes.
-
E.
Khoni
Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99079c8508190b6208db9affcbc0e |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716d8ee2081908428339216c43b47 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:28 p.m.