Triple
T10241053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kameng River |
E243591
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object |
Pakke-Kessang
Pakke-Kessang is a town and district headquarters in Arunachal Pradesh, India, known for its hilly terrain, tribal communities, and proximity to the Pakke Tiger Reserve.
|
E853473
|
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: Pakke-Kessang | Statement: [Kameng River, flowsNear, Pakke-Kessang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pakke-Kessang Context triple: [Kameng River, flowsNear, Pakke-Kessang]
-
A.
Lamkang
Lamkang is a Tibeto-Burman language spoken by the Lamkang people, primarily in parts of Northeast India and Myanmar.
-
B.
Nampong
Nampong is a small border town in Arunachal Pradesh, India, known as a gateway for trade and transit between India and Myanmar.
-
C.
Kattang
Kattang is an Aboriginal Australian language traditionally spoken by the Worimi people of New South Wales.
-
D.
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.
-
E.
Chang Naga
Chang Naga are an indigenous Naga ethnic group of northeastern India, known for their distinct language, traditional warrior culture, and rich ceremonial practices.
- 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: Pakke-Kessang Triple: [Kameng River, flowsNear, Pakke-Kessang]
Generated description
Pakke-Kessang is a town and district headquarters in Arunachal Pradesh, India, known for its hilly terrain, tribal communities, and proximity to the Pakke Tiger Reserve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pakke-Kessang Target entity description: Pakke-Kessang is a town and district headquarters in Arunachal Pradesh, India, known for its hilly terrain, tribal communities, and proximity to the Pakke Tiger Reserve.
-
A.
Lamkang
Lamkang is a Tibeto-Burman language spoken by the Lamkang people, primarily in parts of Northeast India and Myanmar.
-
B.
Nampong
Nampong is a small border town in Arunachal Pradesh, India, known as a gateway for trade and transit between India and Myanmar.
-
C.
Kattang
Kattang is an Aboriginal Australian language traditionally spoken by the Worimi people of New South Wales.
-
D.
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.
-
E.
Chang Naga
Chang Naga are an indigenous Naga ethnic group of northeastern India, known for their distinct language, traditional warrior culture, and rich ceremonial practices.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d21f2ae0819098ac60c828dc9cae |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f780c7808190993e7c37cb4d18a3 |
completed | April 9, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69d6fa2f7a848190a9de5de4d0f3f110 |
completed | April 9, 2026, 1 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fcbab3ec8190ade1c0223c22ad58 |
completed | April 9, 2026, 1:11 a.m. |
Created at: April 6, 2026, 11:24 a.m.