Triple
T932783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porbandar Airport |
E20129
|
entity |
| Predicate | isInRegion |
P285
|
FINISHED |
| Object | Saurashtra |
E15090
|
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: Saurashtra | Statement: [Porbandar Airport, isInRegion, Saurashtra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saurashtra Context triple: [Porbandar Airport, isInRegion, Saurashtra]
-
A.
Khandesh
Khandesh is a historical region in northwestern Maharashtra, India, known for its distinct cultural identity and fertile agricultural plains along the Tapi River.
-
B.
Konkan
Konkan is a rugged, coastal region along the western shoreline of India, known for its distinctive culture, cuisine, and scenic Arabian Sea beaches.
-
C.
Hadoti
Hadoti is a cultural and geographic region in southeastern Rajasthan, India, known for its historic cities like Kota and Bundi and its distinctive Hadoti dialect of Rajasthani.
-
D.
Gujarat
chosen
Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
-
E.
Marathwada
Marathwada is a historically significant and predominantly rural region in central Maharashtra, India, known for its drought-prone agriculture, cultural heritage, and cities like Aurangabad.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b34c457c819085cbfa0c798cb4c6 |
completed | March 1, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f62a0c481909186e09aa914a029 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:40 p.m.