Triple
T14491188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhima I |
E359365
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Anhilwara Patan |
E516254
|
NE FINISHED |
How this triple was built (2 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: Anhilwara Patan | Statement: [Bhima I, capital, Anhilwara Patan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anhilwara Patan Context triple: [Bhima I, capital, Anhilwara Patan]
-
A.
Anhilwad Patan
chosen
Anhilwad Patan is a historic city in present-day Gujarat, India, that once served as a prominent regional capital and cultural center.
-
B.
Palitana
Palitana is a major Jain pilgrimage city in Gujarat, India, renowned for its hilltop complex of hundreds of marble temples on Shatrunjaya Hill.
-
C.
Sawerigadi
Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
-
D.
Bahapur
Bahapur is a locality in South Delhi, India, best known for housing the iconic Lotus Temple, a major Baháʼí House of Worship and architectural landmark.
-
E.
Patalghar
Patalghar is a popular Bengali science-fiction novel by Shirshendu Mukhopadhyay, known for its imaginative storytelling and appeal to both children and adults.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930d820481908b9813014dd02540 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d9334708190baa2f8094df3c09e |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:20 a.m.