Triple
T17397358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pauri Garhwal district |
E422987
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Kotdwar
Kotdwar is a town in the Indian state of Uttarakhand, known as a major gateway to the Garhwal region and an important commercial and transport hub.
|
E1266776
|
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: Kotdwar | Statement: [Pauri Garhwal district, containsTown, Kotdwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotdwar Context triple: [Pauri Garhwal district, containsTown, Kotdwar]
-
A.
Koṭa
Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
-
B.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
-
C.
Kakatpur
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
-
D.
Taranagar
Taranagar is a town in the Churu district of Rajasthan, India, known for its regional trade, educational institutions, and cultural heritage.
-
E.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
- 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: Kotdwar Triple: [Pauri Garhwal district, containsTown, Kotdwar]
Generated description
Kotdwar is a town in the Indian state of Uttarakhand, known as a major gateway to the Garhwal region and an important commercial and transport hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kotdwar Target entity description: Kotdwar is a town in the Indian state of Uttarakhand, known as a major gateway to the Garhwal region and an important commercial and transport hub.
-
A.
Koṭa
Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
-
B.
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
-
C.
Kakatpur
Kakatpur is a town in the Indian state of Odisha, known for the Maa Mangala Temple and its cultural and religious significance in the Puri region.
-
D.
Taranagar
Taranagar is a town in the Churu district of Rajasthan, India, known for its regional trade, educational institutions, and cultural heritage.
-
E.
Karipur
Karipur is a village in the Malappuram district of Kerala, India, best known for hosting Calicut International Airport, a major air gateway for the region.
- 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abe6f708190944aad636e1eb9a1 |
completed | April 19, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01a00100c48190930c8bf9b6917aa5 |
completed | May 11, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_6a01a176d2488190951bbe07233a37e4 |
completed | May 11, 2026, 9:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01a58b12088190828078c69c4fff4b |
completed | May 11, 2026, 9:46 a.m. |
Created at: April 10, 2026, 5:45 a.m.