Triple
T11851345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoshangabad district |
E281914
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Bankhedi
Bankhedi is a small town in the Hoshangabad region of Madhya Pradesh, India, known primarily as a local agricultural and market center.
|
E954196
|
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: Bankhedi | Statement: [Hoshangabad district, containsTown, Bankhedi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bankhedi Context triple: [Hoshangabad district, containsTown, Bankhedi]
-
A.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
-
B.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
C.
Bhainsdehi
Bhainsdehi is a town in central India known for its proximity to the Tapti River and its surrounding hilly, forested landscape.
-
D.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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: Bankhedi Triple: [Hoshangabad district, containsTown, Bankhedi]
Generated description
Bankhedi is a small town in the Hoshangabad region of Madhya Pradesh, India, known primarily as a local agricultural and market center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bankhedi Target entity description: Bankhedi is a small town in the Hoshangabad region of Madhya Pradesh, India, known primarily as a local agricultural and market center.
-
A.
Khadakwasla
Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
-
B.
Bhatapara
Bhatapara is a regional dialect of the Chhattisgarhi language spoken in and around the town of Bhatapara in the Indian state of Chhattisgarh.
-
C.
Bhainsdehi
Bhainsdehi is a town in central India known for its proximity to the Tapti River and its surrounding hilly, forested landscape.
-
D.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
-
E.
Chamkoria
Chamkoria is the former name of Borovets, one of Bulgaria’s oldest and most popular mountain ski resorts.
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a65db52c8190a218736da17d0153 |
completed | April 10, 2026, 7:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f43fb078148190bdd7f36c6b292670 |
completed | May 1, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f448f506a48190a0f1b89ad570fad5 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44ad185cc8190893cf663cfed6980 |
completed | May 1, 2026, 6:40 a.m. |
Created at: April 8, 2026, 9:43 p.m.