Triple
T8073284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Cachar Hills |
E188427
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object |
Rangkhol
Rangkhol are an indigenous ethnic community of Northeast India, primarily associated with the hilly regions of Assam and related Tibeto-Burman cultural and linguistic traditions.
|
E710318
|
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: Rangkhol | Statement: [North Cachar Hills, hasEthnicGroup, Rangkhol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rangkhol Context triple: [North Cachar Hills, hasEthnicGroup, Rangkhol]
-
A.
Rangloi
Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
-
B.
Rangat
Rangat is a coastal town and administrative hub located on Middle Andaman Island in the Andaman and Nicobar Islands, India.
-
C.
Raklungu
Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
-
D.
Lunglei
Lunglei is a major town in the Indian state of Mizoram and an important cultural and administrative center for the Mizo people.
-
E.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
- 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: Rangkhol Triple: [North Cachar Hills, hasEthnicGroup, Rangkhol]
Generated description
Rangkhol are an indigenous ethnic community of Northeast India, primarily associated with the hilly regions of Assam and related Tibeto-Burman cultural and linguistic traditions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rangkhol Target entity description: Rangkhol are an indigenous ethnic community of Northeast India, primarily associated with the hilly regions of Assam and related Tibeto-Burman cultural and linguistic traditions.
-
A.
Rangloi
Rangloi is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
-
B.
Rangat
Rangat is a coastal town and administrative hub located on Middle Andaman Island in the Andaman and Nicobar Islands, India.
-
C.
Raklungu
Raklungu is an indigenous local language spoken on Atauro Island, near Timor-Leste.
-
D.
Lunglei
Lunglei is a major town in the Indian state of Mizoram and an important cultural and administrative center for the Mizo people.
-
E.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
- 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb404a98408190b6c8eecb95ad086d |
completed | March 31, 2026, 3:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63ecb04881909b1849dc4ef7c2bc |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651d340c819089306bac7110f57a |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc666ecc04819092ee4cc035dde627 |
completed | April 1, 2026, 12:27 a.m. |
Created at: March 30, 2026, 5:27 p.m.