Triple
T13223350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devgad taluka |
E314810
|
entity |
| Predicate | famousProduct |
P1448
|
FINISHED |
| Object | Devgad Hapus mango |
E318925
|
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: Devgad Hapus mango | Statement: [Devgad taluka, famousProduct, Devgad Hapus mango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devgad Hapus mango Context triple: [Devgad taluka, famousProduct, Devgad Hapus mango]
-
A.
Devgad
chosen
Devgad is a coastal town in Maharashtra, India, known for its historic sea fort and as a major center of Alphonso mango cultivation.
-
B.
Mangaon
Mangaon is a town in the Raigad district of Maharashtra, India, known as a local commercial and transport hub in the Konkan region.
-
C.
Ghodageri
Ghodageri is a village in Karnataka, India, known as the birthplace of renowned Kannada writer and Jnanpith awardee Chandrashekhara Kambara.
-
D.
Sawerigadi
Sawerigadi is a town in Indonesia located in the province of Southeast Sulawesi.
-
E.
Gangathura
Gangathura is the given first name of Dr. G. M. Naicker, a notable South African anti-apartheid activist and medical doctor.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff24be9881908b96f3e72325e55f |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:19 p.m.