Triple
T10618440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medininagar |
E295182
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Medini Ray
Medini Ray was a historical ruler after whom the town of Medininagar in Jharkhand, India, is named.
|
E875408
|
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: Medini Ray | Statement: [Medininagar, namedAfter, Medini Ray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medini Ray Context triple: [Medininagar, namedAfter, Medini Ray]
-
A.
Karan Mahal
Karan Mahal is a historic palace within Junagarh Fort in Bikaner, Rajasthan, known for its ornate architecture and richly decorated interiors.
-
B.
Karan Mahal
Karan Mahal is a historic palace structure within the Gwalior Fort complex in Madhya Pradesh, India, known for its Rajput-era architecture and royal associations.
-
C.
Anup Mahal
Anup Mahal is an ornately decorated palace hall within Rajasthan’s historic Junagarh Fort, renowned for its intricate carvings, mirror work, and royal audience chambers.
-
D.
Mai Mandir
Mai Mandir is a prominent Hindu temple in Nadiad, Gujarat, known for its distinctive architecture and religious significance to local devotees.
-
E.
Sayaji Baug
Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
- 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: Medini Ray Triple: [Medininagar, namedAfter, Medini Ray]
Generated description
Medini Ray was a historical ruler after whom the town of Medininagar in Jharkhand, India, is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medini Ray Target entity description: Medini Ray was a historical ruler after whom the town of Medininagar in Jharkhand, India, is named.
-
A.
Karan Mahal
Karan Mahal is a historic palace within Junagarh Fort in Bikaner, Rajasthan, known for its ornate architecture and richly decorated interiors.
-
B.
Karan Mahal
Karan Mahal is a historic palace structure within the Gwalior Fort complex in Madhya Pradesh, India, known for its Rajput-era architecture and royal associations.
-
C.
Anup Mahal
Anup Mahal is an ornately decorated palace hall within Rajasthan’s historic Junagarh Fort, renowned for its intricate carvings, mirror work, and royal audience chambers.
-
D.
Mai Mandir
Mai Mandir is a prominent Hindu temple in Nadiad, Gujarat, known for its distinctive architecture and religious significance to local devotees.
-
E.
Sayaji Baug
Sayaji Baug is a large public garden and cultural complex in Vadodara, India, known for its zoo, museums, and recreational facilities.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b86a5bc8190863034cc91fdbbb9 |
completed | April 10, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69d96def8bfc81909d6a5addf724691b |
completed | April 10, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d96fedb18881908570593856f4aade |
completed | April 10, 2026, 9:47 p.m. |
Created at: April 8, 2026, 8:19 p.m.