Triple
T17413265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mian Channu |
E423420
|
entity |
| Predicate | hasNearbyCity |
P350
|
FINISHED |
| Object |
Chichawatni
Chichawatni is a city in the Sahiwal District of Punjab, Pakistan, known for its agricultural markets and proximity to major transport routes.
|
E1271809
|
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: Chichawatni | Statement: [Mian Channu, hasNearbyCity, Chichawatni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chichawatni Context triple: [Mian Channu, hasNearbyCity, Chichawatni]
-
A.
Chitrari
Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
-
B.
Tindwari
Tindwari is a town and administrative settlement located in the Banda district of Uttar Pradesh, India.
-
C.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
D.
Tundla
Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
-
E.
Vohra
Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
- 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: Chichawatni Triple: [Mian Channu, hasNearbyCity, Chichawatni]
Generated description
Chichawatni is a city in the Sahiwal District of Punjab, Pakistan, known for its agricultural markets and proximity to major transport routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chichawatni Target entity description: Chichawatni is a city in the Sahiwal District of Punjab, Pakistan, known for its agricultural markets and proximity to major transport routes.
-
A.
Chitrari
Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
-
B.
Tindwari
Tindwari is a town and administrative settlement located in the Banda district of Uttar Pradesh, India.
-
C.
Kherwara
Kherwara is a town in the Udaipur district of Rajasthan, India, known for its tribal population and location along key regional road routes.
-
D.
Tundla
Tundla is a town in the Indian state of Uttar Pradesh known primarily as a major railway junction and transit hub in the Braj cultural region.
-
E.
Vohra
Vohra is an Indian surname commonly associated with Punjabi and North Indian communities, including notable figures in politics, business, and public life.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b0c12b881908b2ddc13678c7a75 |
completed | April 19, 2026, 2:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c1ed59fc8190a703d1371c984f46 |
completed | May 11, 2026, 11:47 a.m. |
| NEDg | Description generation | batch_6a01c3112120819088d102c341aab170 |
completed | May 11, 2026, 11:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01c38e58e08190a1fc3a3e1738d6b0 |
completed | May 11, 2026, 11:54 a.m. |
Created at: April 10, 2026, 5:46 a.m.