Triple
T12498141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colaba |
E298745
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Nariman Point |
E704191
|
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: Nariman Point | Statement: [Colaba, near, Nariman Point]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nariman Point Context triple: [Colaba, near, Nariman Point]
-
A.
Nariman Point
chosen
Nariman Point is a prominent seafront business district in South Mumbai known for its concentration of corporate offices, luxury hotels, and views of the Arabian Sea.
-
B.
Gemmayzeh
Gemmayzeh is a historic, bohemian neighborhood in Beirut known for its traditional architecture, vibrant nightlife, and cultural scene.
-
C.
Al Shindagha
Al Shindagha is a historic waterfront district in Dubai, United Arab Emirates, known as one of the city’s oldest neighborhoods and a key heritage and cultural area.
-
D.
Ras El Bar
Ras El Bar is a coastal resort city in northern Egypt known for its beaches and its location where the Nile River meets the Mediterranean Sea.
-
E.
Ain Helwan
Ain Helwan is a district in southern Cairo, Egypt, known as a residential and educational area connected to the city center by the Cairo Metro.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dfa98348190b9ac164ecdada6fe |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64baf73188190af29b57f8ae9253f |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.