Triple
T3474954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lin |
E73348
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object |
Bombay slums
The Bombay slums are densely populated, impoverished urban settlements in Mumbai characterized by overcrowded housing, inadequate infrastructure, and limited access to basic services.
|
E361949
|
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: Bombay slums | Statement: [Lin, residence, Bombay slums]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bombay slums Context triple: [Lin, residence, Bombay slums]
-
A.
South Mumbai
South Mumbai is the historic and commercial heart of Mumbai, known for its colonial-era architecture, major business districts, and key landmarks along the city’s southern peninsula.
-
B.
Awami Colony
Awami Colony is a residential neighborhood located within Karachi’s Korangi District in Pakistan.
-
C.
Orangi Town
Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
-
D.
Bilal Colony
Bilal Colony is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
E.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
- 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: Bombay slums Triple: [Lin, residence, Bombay slums]
Generated description
The Bombay slums are densely populated, impoverished urban settlements in Mumbai characterized by overcrowded housing, inadequate infrastructure, and limited access to basic services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bombay slums Target entity description: The Bombay slums are densely populated, impoverished urban settlements in Mumbai characterized by overcrowded housing, inadequate infrastructure, and limited access to basic services.
-
A.
South Mumbai
South Mumbai is the historic and commercial heart of Mumbai, known for its colonial-era architecture, major business districts, and key landmarks along the city’s southern peninsula.
-
B.
Awami Colony
Awami Colony is a residential neighborhood located within Karachi’s Korangi District in Pakistan.
-
C.
Orangi Town
Orangi Town is a densely populated residential area in Karachi, Pakistan, known as one of Asia’s largest informal settlements.
-
D.
Bilal Colony
Bilal Colony is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
-
E.
Zaman Town
Zaman Town is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
- 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_69ad85b2fed48190948c8765e453d270 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb580d4c819080bcc0bccd1e18e2 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b36812e3a08190abe8db8d3429a49e |
completed | March 13, 2026, 1:27 a.m. |
| NEDg | Description generation | batch_69b36c4d77448190abe198ec9d48597d |
completed | March 13, 2026, 1:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b36cca06d48190bc72ad2e9bd9bdb5 |
completed | March 13, 2026, 1:47 a.m. |
Created at: March 8, 2026, 3:17 p.m.