Triple
T21406491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midaq Alley |
E528047
|
entity |
| Predicate | EnglishTitle |
P6688
|
FINISHED |
| Object | Midaq Alley |
—
|
NE NERFINISHED |
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: Midaq Alley | Statement: [Midaq Alley, EnglishTitle, Midaq Alley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midaq Alley Context triple: [Midaq Alley, EnglishTitle, Midaq Alley]
-
A.
Midaq Alley
chosen
Midaq Alley is a novel by Egyptian Nobel laureate Naguib Mahfouz that portrays the intertwined lives of residents in a poor Cairo neighborhood during the 1940s.
-
B.
Kuan Alley
Kuan Alley is one of the historic lanes within Chengdu’s Kuanzhai Alleys, known for its traditional courtyard architecture and preserved old-town atmosphere.
-
C.
Nyamiha Street
Nyamiha Street is a major thoroughfare in central Minsk, Belarus, named after the nearby Nyamiha River and known for its commercial and historical significance.
-
D.
Kargar Street
Kargar Street is a major thoroughfare in Tehran, Iran, known for running through central parts of the city and connecting important academic and commercial areas.
-
E.
Yakal Street
Yakal Street is a notable urban road in Makati, Metro Manila, known for its mix of commercial establishments, offices, and access to major thoroughfares.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b1b08fdc81909b3ba01add5f6484 |
completed | April 22, 2026, 11:32 a.m. |
Created at: April 16, 2026, 5:32 p.m.