Triple
T18860818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saurashtra Railway |
E461305
|
entity |
| Predicate | servedCity |
P3936
|
FINISHED |
| Object | Junagadh |
—
|
NE NERFINISHED |
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: Junagadh | Statement: [Saurashtra Railway, servedCity, Junagadh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Junagadh Context triple: [Saurashtra Railway, servedCity, Junagadh]
-
A.
Junagadh
chosen
Junagadh is a historic city in western India known for its ancient fort, Buddhist caves, and proximity to the Girnar hills and Gir National Park.
-
B.
Palanpur
Palanpur is a prominent town in northern Gujarat, India, known historically as the former capital of the princely state of Palanpur and an important regional commercial center.
-
C.
Surendranagar
Surendranagar is a city in the Indian state of Gujarat known historically as a regional trade and administrative center.
-
D.
Veraval
Veraval is a coastal city in the Indian state of Gujarat, known historically as a major fishing and port town near the pilgrimage center of Somnath.
-
E.
Bhuj
Bhuj is a historic city in the Kutch district of Gujarat, India, known for its rich cultural heritage, traditional handicrafts, and role as a regional commercial and administrative center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c060bfc4819092ac591692a6ccd5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.