Triple
T15648343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutchi |
E376238
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Kachchi
Kachchi is an alternative name for the Kutchi language spoken primarily in the Kutch region of Gujarat, India, and parts of Pakistan.
|
E1169446
|
NE FINISHED |
How this triple was built (4 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: Kachchi | Statement: [Kutchi, hasAlternativeName, Kachchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kachchi Context triple: [Kutchi, hasAlternativeName, Kachchi]
-
A.
Chakia
Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
-
B.
Pachhad
Pachhad is a legislative assembly constituency in the Sirmour district of Himachal Pradesh, India, represented in the state's Vidhan Sabha.
-
C.
Bhokar
Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
-
D.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
E.
Kachhhera
Kachhhera is a traditional cotton undergarment worn by Sikhs as one of the five articles of faith symbolizing modesty and self-discipline.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kachchi Triple: [Kutchi, hasAlternativeName, Kachchi]
Generated description
Kachchi is an alternative name for the Kutchi language spoken primarily in the Kutch region of Gujarat, India, and parts of Pakistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kachchi Target entity description: Kachchi is an alternative name for the Kutchi language spoken primarily in the Kutch region of Gujarat, India, and parts of Pakistan.
-
A.
Chakia
Chakia is a town in the East Champaran district of the Indian state of Bihar, known primarily as a local administrative and market center for the surrounding rural region.
-
B.
Pachhad
Pachhad is a legislative assembly constituency in the Sirmour district of Himachal Pradesh, India, represented in the state's Vidhan Sabha.
-
C.
Bhokar
Bhokar is a legislative assembly constituency in the Nanded district of Maharashtra, India.
-
D.
Sakesar
Sakesar is a prominent mountain peak in Pakistan’s Punjab region, known for its scenic views, cooler climate, and strategic location within the Salt Range.
-
E.
Kachhhera
Kachhhera is a traditional cotton undergarment worn by Sikhs as one of the five articles of faith symbolizing modesty and self-discipline.
- F. None of above. chosen
Provenance (5 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff67936e388190913c9060194e5b53 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff6883b5048190b64e4361bc89dd80 |
completed | May 9, 2026, 5:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff6911a76c819088c8a86d2106b6c6 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:15 a.m.