Triple
T19823590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhshankar |
E476258
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Mahilpur
Mahilpur is a town in the Hoshiarpur district of Punjab, India, known for its educational institutions and local commerce.
|
E1403277
|
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: Mahilpur | Statement: [Garhshankar, hasNearbyTown, Mahilpur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mahilpur Context triple: [Garhshankar, hasNearbyTown, Mahilpur]
-
A.
Mahidpur
Mahidpur is a historic town in the Indian state of Madhya Pradesh, known for its location in the Malwa region and its role in the Anglo-Maratha conflicts.
-
B.
Shrirampur
Shrirampur is a prominent town in Maharashtra, India, known for its agricultural markets and role as a local commercial and educational hub.
-
C.
Maharajganj
Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
-
D.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
-
E.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
- 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: Mahilpur Triple: [Garhshankar, hasNearbyTown, Mahilpur]
Generated description
Mahilpur is a town in the Hoshiarpur district of Punjab, India, known for its educational institutions and local commerce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mahilpur Target entity description: Mahilpur is a town in the Hoshiarpur district of Punjab, India, known for its educational institutions and local commerce.
-
A.
Mahidpur
Mahidpur is a historic town in the Indian state of Madhya Pradesh, known for its location in the Malwa region and its role in the Anglo-Maratha conflicts.
-
B.
Shrirampur
Shrirampur is a prominent town in Maharashtra, India, known for its agricultural markets and role as a local commercial and educational hub.
-
C.
Maharajganj
Maharajganj is a city in the Purvanchal region of Uttar Pradesh, India, serving as an administrative and commercial center near the Indo-Nepal border.
-
D.
Mahipalpur
Mahipalpur is an urban village and commercial area in Delhi, India, located near Indira Gandhi International Airport and known for its hotels, transport hubs, and proximity to major highways.
-
E.
Rampurhat
Rampurhat is a town and important railway junction in the Birbhum district of West Bengal, India.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6550070c4819099e1f057b9a8849e |
completed | April 20, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6d201688190990e86748028cdd6 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f9d9eb3c8190966970320db356c6 |
completed | May 16, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07fa385e68819094d17112b89cac12 |
completed | May 16, 2026, 5:01 a.m. |
Created at: April 10, 2026, 1:50 p.m.