Triple
T7508025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurangabad railway station |
E177441
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Jalna |
E556970
|
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: Jalna | Statement: [Aurangabad railway station, connectsTo, Jalna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalna Context triple: [Aurangabad railway station, connectsTo, Jalna]
-
A.
Jalna
chosen
Jalna is a prominent city in Maharashtra, India, known as an important commercial and administrative center of the Marathwada region.
-
B.
Mogren Beach
Mogren Beach is a popular sandy and pebbly beach near the old town of Budva, Montenegro, known for its clear Adriatic waters and scenic cliff-backed coves.
-
C.
Bačvice Beach
Bačvice Beach is a famous sandy urban beach in Split, Croatia, known for its shallow waters and vibrant social and nightlife scene.
-
D.
Mandvi Beach
Mandvi Beach is a coastal tourist spot in Ratnagiri, Maharashtra, known for its scenic shoreline and relaxed seaside atmosphere.
-
E.
Devka Beach
Devka Beach is a popular seaside destination in the Daman district of India, known for its long sandy shoreline, amusement facilities, and relaxed coastal atmosphere.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83ca56e3c81908c3bae8ad2d9ecd1 |
completed | March 28, 2026, 8:40 p.m. |
Created at: March 27, 2026, 3:45 p.m.