Triple
T6986372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numaish Chowrangi |
E161972
|
entity |
| Predicate | isGatewayTo |
P2066
|
FINISHED |
| Object | Saddar |
E628961
|
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: Saddar | Statement: [Numaish Chowrangi, isGatewayTo, Saddar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saddar Context triple: [Numaish Chowrangi, isGatewayTo, Saddar]
-
A.
Saddar
chosen
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
-
B.
Sachal
Sachal is the honorific name of Sachal Sarmast, an 18th–19th century Sindhi Sufi poet and mystic renowned for his multilingual poetry and message of spiritual unity.
-
C.
Shahhat
Shahhat is a town in northeastern Libya known for its proximity to the ancient Greek city of Cyrene and its location in the fertile Jabal al Akhdar region.
-
D.
Asmat
Asmat is a town located in the Anseba region of Eritrea.
-
E.
Dawar
Dawar is a town in the Gurez Valley of Jammu and Kashmir, India, known for its remote Himalayan setting near the Line of Control.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db93c0ac8190a752a633247bb439 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761cfda14819088e11889f0151a37 |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:32 p.m.