Triple
T7400439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaon district |
E170732
|
entity |
| Predicate | hasNotableTown |
P14082
|
FINISHED |
| Object |
Hojai
Hojai is a town in the Indian state of Assam known as a commercial and cultural center, particularly for its role in the region’s trade and local industries.
|
E662245
|
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: Hojai | Statement: [Nagaon district, hasNotableTown, Hojai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hojai Context triple: [Nagaon district, hasNotableTown, Hojai]
-
A.
Andong
Andong is a historic city in South Korea renowned for its preserved traditional culture, including the Hahoe Folk Village and the Andong Mask Dance Festival.
-
B.
Yeoju
Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
-
C.
Gwangyang
Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
-
D.
Mamuju
Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
-
E.
Gunpo
Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
- 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: Hojai Triple: [Nagaon district, hasNotableTown, Hojai]
Generated description
Hojai is a town in the Indian state of Assam known as a commercial and cultural center, particularly for its role in the region’s trade and local industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hojai Target entity description: Hojai is a town in the Indian state of Assam known as a commercial and cultural center, particularly for its role in the region’s trade and local industries.
-
A.
Andong
Andong is a historic city in South Korea renowned for its preserved traditional culture, including the Hahoe Folk Village and the Andong Mask Dance Festival.
-
B.
Yeoju
Yeoju is a city in South Korea known for its rich historical heritage, including royal tombs and ceramics, and its scenic riverside landscapes.
-
C.
Gwangyang
Gwangyang is an industrial port city in South Korea known for its major steelworks complex and scenic coastal and mountainous landscapes.
-
D.
Mamuju
Mamuju is a coastal city on the island of Sulawesi in Indonesia known as an administrative and economic center in the region.
-
E.
Gunpo
Gunpo is a small satellite city in South Korea’s Seoul Capital Area, known for its residential communities and convenient commuter access to Seoul.
- 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_69c68a5f04188190ac266569c9280347 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f24f6b7c81908cb61395239d03a0 |
completed | March 27, 2026, 9:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8110b6ffc819080f65c590f6ac156 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c811c9c5e48190a610d890780c7aa4 |
completed | March 28, 2026, 5:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8128e49948190822787e76b1663a6 |
completed | March 28, 2026, 5:40 p.m. |
Created at: March 27, 2026, 3:10 p.m.