Triple
T7741875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Assam |
E175528
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object |
Motok
The Motok are an indigenous ethnic community of Upper Assam in northeastern India, known for their distinct cultural traditions and historical presence in the region.
|
E686462
|
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: Motok | Statement: [Upper Assam, hasEthnicGroup, Motok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motok Context triple: [Upper Assam, hasEthnicGroup, Motok]
-
A.
Moto
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
-
B.
Motal
Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
-
C.
Motobu
Motobu is a town on the northern part of Okinawa Island in Japan, known for its coastal scenery, marine attractions, and role as a regional tourist destination.
-
D.
Mottola
Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
-
E.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
- 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: Motok Triple: [Upper Assam, hasEthnicGroup, Motok]
Generated description
The Motok are an indigenous ethnic community of Upper Assam in northeastern India, known for their distinct cultural traditions and historical presence in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Motok Target entity description: The Motok are an indigenous ethnic community of Upper Assam in northeastern India, known for their distinct cultural traditions and historical presence in the region.
-
A.
Moto
Moto is a consumer electronics brand used by Motorola Mobility for its line of smartphones and related mobile devices.
-
B.
Motal
Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
-
C.
Motobu
Motobu is a town on the northern part of Okinawa Island in Japan, known for its coastal scenery, marine attractions, and role as a regional tourist destination.
-
D.
Mottola
Mottola is an Italian surname most prominently associated with American music executive Tommy Mottola.
-
E.
Martz
Martz is a surname most notably associated with Mike Martz, an American football coach known for his innovative offensive strategies in the NFL.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70387807081909546bc7c209955ef |
completed | March 27, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be454e708190b410dada4f4f1e97 |
completed | March 29, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69c8bface14c8190a78d7ed43316bffd |
completed | March 29, 2026, 5:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c02e7a548190b2c5ad84e4c3f1fb |
completed | March 29, 2026, 6:01 a.m. |
Created at: March 27, 2026, 4:07 p.m.