Triple
T879446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madhya Pradesh |
E18993
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Harda
Harda is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and railway connectivity.
|
E138464
|
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: Harda | Statement: [Madhya Pradesh, hasMajorCity, Harda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harda Context triple: [Madhya Pradesh, hasMajorCity, Harda]
-
A.
Vidisha
Vidisha is a historic city in the central Indian state of Madhya Pradesh, known for its ancient Buddhist and Hindu heritage and archaeological sites.
-
B.
Yamunanagar
Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
-
C.
Bhind
Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
-
D.
Barwani
Barwani is a town in the Indian state of Madhya Pradesh, known for its proximity to the Narmada River and its surrounding hilly, forested landscape.
-
E.
Jamnagar
Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
- 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: Harda Triple: [Madhya Pradesh, hasMajorCity, Harda]
Generated description
Harda is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and railway connectivity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harda Target entity description: Harda is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and railway connectivity.
-
A.
Vidisha
Vidisha is a historic city in the central Indian state of Madhya Pradesh, known for its ancient Buddhist and Hindu heritage and archaeological sites.
-
B.
Yamunanagar
Yamunanagar is an industrial city in the Indian state of Haryana, known for its plywood, paper, and metal industries and its proximity to the Yamuna River.
-
C.
Bhind
Bhind is a city in the northern part of the Indian state of Madhya Pradesh, known as an administrative and commercial center of the region.
-
D.
Barwani
Barwani is a town in the Indian state of Madhya Pradesh, known for its proximity to the Narmada River and its surrounding hilly, forested landscape.
-
E.
Jamnagar
Jamnagar is a city in the Indian state of Gujarat, known for its oil refineries, brass industries, and proximity to the Gulf of Kutch.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4acc9d5f4819087afbb75b6ac3dbf |
completed | March 1, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f23e10081909ebf4e87dc081254 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7f9a55dc819098204d53aac70ef3 |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac80c3c6b08190a99119f5661c0157 |
completed | March 7, 2026, 7:47 p.m. |
Created at: March 1, 2026, 7:39 p.m.