Triple
T4121797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dutch Coromandel |
E92628
|
entity |
| Predicate | hadSettlement |
P16159
|
FINISHED |
| Object | Masulipatnam |
E416086
|
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: Masulipatnam | Statement: [Dutch Coromandel, hadSettlement, Masulipatnam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Masulipatnam Context triple: [Dutch Coromandel, hadSettlement, Masulipatnam]
-
A.
Kondapur
Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
-
B.
Rajahmundry
Rajahmundry is a historic city in the Indian state of Andhra Pradesh, known as a major cultural and commercial center in the Godavari region.
-
C.
Bhimnagar
Bhimnagar is a settlement in the Indian state of Bihar known for its proximity to the Kosi River and the major Kosi Barrage infrastructure.
-
D.
Guntur
Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
-
E.
Bheemunipatnam
chosen
Bheemunipatnam is a historic coastal town in Andhra Pradesh, India, known for its former Dutch colonial presence, old fortifications, and scenic beaches along the Bay of Bengal.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af0b2c76fc8190b3cd9facfcd6e427 |
completed | March 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f256abc819086cd464be1a9efbf |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:41 p.m.