Triple
T6197641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajkot Junction railway station |
E138547
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Okha |
E479529
|
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: Okha | Statement: [Rajkot Junction railway station, connectsTo, Okha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Okha Context triple: [Rajkot Junction railway station, connectsTo, Okha]
-
A.
Okha
Okha is a town in the northern part of Russia’s Sakhalin Island known historically for its oil and gas industry.
-
B.
Okha
chosen
Okha is a coastal town and port in Gujarat, India, known as a gateway to the island pilgrimage site of Bet Dwarka.
-
C.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
-
D.
Rattanbai
Rattanbai was the wife of Muhammad Ali Jinnah, the founder of Pakistan, and the mother of their only child, Dina Wadia.
-
E.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06251b47881909bd8d2ea37541959 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f2a40a88190847f607a6e2c5f4e |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:20 p.m.