Triple
T7641021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timung |
E173005
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Dima Hasao
Dima Hasao is a hilly, tribal-majority district in the Indian state of Assam known for its diverse indigenous communities and scenic landscapes.
|
E677855
|
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: Dima Hasao | Statement: [Timung, region, Dima Hasao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dima Hasao Context triple: [Timung, region, Dima Hasao]
-
A.
Delingha
Delingha is a county-level city in northwestern China that serves as an important administrative and transportation hub in Qinghai Province.
-
B.
Mangaldoi
Mangaldoi is a town in the Indian state of Assam that serves as an important administrative and commercial center for the surrounding region.
-
C.
Bawku
Bawku is a town in northeastern Ghana known as a commercial hub near the country’s border with Burkina Faso.
-
D.
Muktsar
Muktsar is a historic town in Punjab, India, known for its association with Sikh history and the Battle of Muktsar fought in 1705.
-
E.
Sairang
Sairang is a small town in the Indian state of Mizoram, known for its scenic riverside setting and role as a transport and trading hub near the state capital Aizawl.
- 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: Dima Hasao Triple: [Timung, region, Dima Hasao]
Generated description
Dima Hasao is a hilly, tribal-majority district in the Indian state of Assam known for its diverse indigenous communities and scenic landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dima Hasao Target entity description: Dima Hasao is a hilly, tribal-majority district in the Indian state of Assam known for its diverse indigenous communities and scenic landscapes.
-
A.
Delingha
Delingha is a county-level city in northwestern China that serves as an important administrative and transportation hub in Qinghai Province.
-
B.
Mangaldoi
Mangaldoi is a town in the Indian state of Assam that serves as an important administrative and commercial center for the surrounding region.
-
C.
Bawku
Bawku is a town in northeastern Ghana known as a commercial hub near the country’s border with Burkina Faso.
-
D.
Muktsar
Muktsar is a historic town in Punjab, India, known for its association with Sikh history and the Battle of Muktsar fought in 1705.
-
E.
Sairang
Sairang is a small town in the Indian state of Mizoram, known for its scenic riverside setting and role as a transport and trading hub near the state capital Aizawl.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6facd9dec8190ab3af9cdde9992e6 |
completed | March 27, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870cd11648190b9aeedadb7bc1981 |
completed | March 29, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69c872a531e08190b7488f576dcd7de4 |
completed | March 29, 2026, 12:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c873846a188190a3a1cc56ac247fb0 |
completed | March 29, 2026, 12:34 a.m. |
Created at: March 27, 2026, 3:57 p.m.