Triple
T12498123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colaba |
E298745
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Navy Nagar
Navy Nagar is a prominent naval residential and administrative enclave in Mumbai, India, housing key Indian Navy establishments and personnel.
|
E987239
|
NE FINISHED |
How this triple was built (4 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: Navy Nagar | Statement: [Colaba, hasLandmark, Navy Nagar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Navy Nagar Context triple: [Colaba, hasLandmark, Navy Nagar]
-
A.
Indira Nagar
Indira Nagar is a legislative assembly constituency in the Union Territory of Puducherry, India.
-
B.
Shastri Nagar
Shastri Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
C.
Prem Nagar
Prem Nagar is a popular Indian romantic drama film produced by renowned filmmaker D. Ramanaidu, known for its influential status in Telugu and Hindi cinema.
-
D.
Subhash Nagar
Subhash Nagar is a residential and commercial neighborhood in West Delhi, India, known for its urban markets, metro connectivity, and proximity to major city hubs.
-
E.
Patel Nagar
Patel Nagar is a prominent residential and commercial neighborhood in central-west Delhi, known for its busy markets, metro connectivity, and proximity to major institutional areas like Pusa.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Navy Nagar Triple: [Colaba, hasLandmark, Navy Nagar]
Generated description
Navy Nagar is a prominent naval residential and administrative enclave in Mumbai, India, housing key Indian Navy establishments and personnel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Navy Nagar Target entity description: Navy Nagar is a prominent naval residential and administrative enclave in Mumbai, India, housing key Indian Navy establishments and personnel.
-
A.
Indira Nagar
Indira Nagar is a legislative assembly constituency in the Union Territory of Puducherry, India.
-
B.
Shastri Nagar
Shastri Nagar is a small settlement located on Great Nicobar Island in the Andaman and Nicobar Islands of India.
-
C.
Prem Nagar
Prem Nagar is a popular Indian romantic drama film produced by renowned filmmaker D. Ramanaidu, known for its influential status in Telugu and Hindi cinema.
-
D.
Subhash Nagar
Subhash Nagar is a residential and commercial neighborhood in West Delhi, India, known for its urban markets, metro connectivity, and proximity to major city hubs.
-
E.
Patel Nagar
Patel Nagar is a prominent residential and commercial neighborhood in central-west Delhi, known for its busy markets, metro connectivity, and proximity to major institutional areas like Pusa.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69f64ce0ca288190bbbcb5459f914c19 |
completed | May 2, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64df6488481909dea8387e7000d15 |
completed | May 2, 2026, 7:18 p.m. |
Created at: April 8, 2026, 9:57 p.m.