Triple
T7682382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chittagong Division |
E174026
|
entity |
| Predicate | containsEthnicGroup |
P1898
|
FINISHED |
| Object |
Mro
The Mro are an indigenous ethnic group of the Chittagong Hill Tracts region of Bangladesh, known for their distinct Tibeto-Burman language and traditional hill-farming lifestyle.
|
E681997
|
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: Mro | Statement: [Chittagong Division, containsEthnicGroup, Mro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mro Context triple: [Chittagong Division, containsEthnicGroup, Mro]
-
A.
Mriak-Mriku
Mriak-Mriku is a regional dialect of the Sasak language spoken by communities on the island of Lombok in Indonesia.
-
B.
Muren
Muren is the surname of Dennis Muren, a renowned visual effects artist known for his groundbreaking work in films such as Star Wars and Jurassic Park.
-
C.
Maashees
Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
-
D.
Morvi
Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
-
E.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
- 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: Mro Triple: [Chittagong Division, containsEthnicGroup, Mro]
Generated description
The Mro are an indigenous ethnic group of the Chittagong Hill Tracts region of Bangladesh, known for their distinct Tibeto-Burman language and traditional hill-farming lifestyle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mro Target entity description: The Mro are an indigenous ethnic group of the Chittagong Hill Tracts region of Bangladesh, known for their distinct Tibeto-Burman language and traditional hill-farming lifestyle.
-
A.
Mriak-Mriku
Mriak-Mriku is a regional dialect of the Sasak language spoken by communities on the island of Lombok in Indonesia.
-
B.
Muren
Muren is the surname of Dennis Muren, a renowned visual effects artist known for his groundbreaking work in films such as Star Wars and Jurassic Park.
-
C.
Maashees
Maashees is a small village in the Dutch province of North Brabant, situated along the river Meuse and known for its rural character and historic church.
-
D.
Morvi
Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
-
E.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70201387c8190afc8479b5a9e21e8 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a25304b88190920c2e4908925ce2 |
completed | March 29, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_69c8a3c18f208190bff7ebdcf7ba2be1 |
completed | March 29, 2026, 4 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a7a002308190826cb99f238975c5 |
completed | March 29, 2026, 4:16 a.m. |
Created at: March 27, 2026, 4:01 p.m.