Triple
T14225024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navi Mumbai |
E352594
|
entity |
| Predicate | hasCommercialHub |
P9422
|
FINISHED |
| Object | Nerul |
E709470
|
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: Nerul | Statement: [Navi Mumbai, hasCommercialHub, Nerul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nerul Context triple: [Navi Mumbai, hasCommercialHub, Nerul]
-
A.
Nerul
chosen
Nerul is a residential and commercial node in Navi Mumbai, India, known for its planned infrastructure, educational institutions, and proximity to major sports and recreational facilities.
-
B.
Nerul
Nerul is a coastal village in North Goa, India, known for its scenic riverside setting and proximity to popular Goan beaches and tourist areas.
-
C.
Nahe
Nahe is a river in western Germany, known for flowing through the Nahe wine region before joining the Rhine.
-
D.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
-
E.
Niele
Niele is a feminine given name most notably borne by Niele Ivey, an American basketball coach and former WNBA player.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6228e53c8190abbe4e2d88a7362a |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd324f501081908f7017302bc40b3a |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:06 a.m.