Triple
T14051858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mumbai Island |
E338110
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Mazagaon |
E649161
|
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: Mazagaon | Statement: [Mumbai Island, contains, Mazagaon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mazagaon Context triple: [Mumbai Island, contains, Mazagaon]
-
A.
Mazagaon
chosen
Mazagaon is one of the original seven islands that historically merged to form the modern city of Mumbai, India.
-
B.
Dalgaon
Dalgaon is a town and administrative center located in the Darrang district of the northeastern Indian state of Assam.
-
C.
Navalgund
Navalgund is a town in the Indian state of Karnataka known for its traditional handloom cotton and silk sarees, especially the distinctive Navalgund durries.
-
D.
Sewri
Sewri is a neighborhood in Mumbai, India, known for its railway station on the city’s suburban network and its location along the eastern waterfront.
-
E.
Sindhudurg
Sindhudurg is a coastal district in Maharashtra, India, renowned for its historic sea fort, beaches, and scenic Konkan landscape.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8a518081908ad030ba48b7b946 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc346ff2c81909dfc29ef6624181f |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 9, 2026, 10:20 p.m.