Triple
T13415493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faridkot district |
E313200
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Kotkapura
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
|
E1048124
|
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: Kotkapura | Statement: [Faridkot district, hasTown, Kotkapura]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kotkapura Context triple: [Faridkot district, hasTown, Kotkapura]
-
A.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
B.
Bhagwanpura
Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
-
C.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
D.
Koṭa
Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
-
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: Kotkapura Triple: [Faridkot district, hasTown, Kotkapura]
Generated description
Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kotkapura Target entity description: Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
-
A.
Malkapur
Malkapur is a town and municipal council in Maharashtra, India, known as a commercial and transport hub within Buldhana district.
-
B.
Bhagwanpura
Bhagwanpura is a town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and market center for surrounding rural areas.
-
C.
Jwalapur
Jwalapur is a prominent suburban town and commercial hub near Haridwar in the Indian state of Uttarakhand.
-
D.
Koṭa
Koṭa is a Dravidian language spoken by the indigenous Kota people in the Nilgiri Hills of southern India.
-
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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb6e904819098cc9153fd2feaf5 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76b9ec6848190b8e986d849756050 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f7763fc23c819098d46ab0906b8764 |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7791add908190af69b23a54eb7560 |
completed | May 3, 2026, 4:34 p.m. |
Created at: April 9, 2026, 9:39 p.m.