Triple
T757149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chechens |
E15581
|
entity |
| Predicate | autonym |
P1435
|
FINISHED |
| Object |
Nokhchi
Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
|
E108765
|
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: Nokhchi | Statement: [Chechens, autonym, Nokhchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nokhchi Context triple: [Chechens, autonym, Nokhchi]
-
A.
Noshaq
Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
D.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
E.
Najd
Najd is the central plateau region of Saudi Arabia, historically known as a heartland of Arab tribal culture and the birthplace of the modern Saudi state.
- 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: Nokhchi Triple: [Chechens, autonym, Nokhchi]
Generated description
Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nokhchi Target entity description: Nokhchi is the endonym used by the Chechen people to refer to themselves as an ethnic group indigenous to the North Caucasus region.
-
A.
Noshaq
Noshaq is a prominent mountain in the Hindu Kush range, straddling the Afghanistan–Pakistan border and known as one of the region’s highest and most challenging peaks.
-
B.
Khashuri
Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
-
C.
Nain
Nain is a remote coastal town in northern Labrador, Canada, known as the administrative center of the Inuit region of Nunatsiavut.
-
D.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
E.
Najd
Najd is the central plateau region of Saudi Arabia, historically known as a heartland of Arab tribal culture and the birthplace of the modern Saudi state.
- 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_69a493599a0081908da65f3407af1ef2 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a66ab4608190afcd81e6606c5116 |
completed | March 1, 2026, 8:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf4d769c81909eba6cefb241d417 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7d1c7e624819095426c813f1a6359 |
completed | March 4, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d2382dd88190b35283df097f3bb3 |
completed | March 4, 2026, 6:33 a.m. |
Created at: March 1, 2026, 7:37 p.m.