Triple
T12190347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federal B Area |
E290444
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | North Nazimabad |
E293480
|
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: North Nazimabad | Statement: [Federal B Area, borderedBy, North Nazimabad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Nazimabad Context triple: [Federal B Area, borderedBy, North Nazimabad]
-
A.
North Nazimabad Town
chosen
North Nazimabad Town is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned layout and middle-class population.
-
B.
Nazimabad
Nazimabad is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its middle-class population and central location within the city.
-
C.
Ansari Nagar
Ansari Nagar is a prominent locality in New Delhi, India, best known for housing the All India Institute of Medical Sciences (AIIMS), one of the country’s leading medical institutions.
-
D.
Zakir Nagar
Zakir Nagar is a densely populated residential and commercial neighborhood in the Okhla area of South Delhi, known for its vibrant markets and predominantly Muslim community.
-
E.
Faizabad
Faizabad is a city in northeastern Afghanistan that served as the main stronghold and administrative center of the anti-Taliban government during the late 1990s.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c5340248190b79379423f3a3ca1 |
completed | April 10, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a88b3b08190aef789b1965bbe80 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:50 p.m.