Triple
T1241914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midaq Alley |
E26674
|
entity |
| Predicate | hasAlleyAsSymbol |
P10282
|
FINISHED |
| Object | microcosm of Egyptian society |
—
|
LITERAL 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: microcosm of Egyptian society | Statement: [Midaq Alley, hasAlleyAsSymbol, microcosm of Egyptian society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlleyAsSymbol Context triple: [Midaq Alley, hasAlleyAsSymbol, microcosm of Egyptian society]
-
A.
hasEntranceOn
Indicates that one entity’s entrance or access point is located on or faces a specified side, boundary, or feature of another entity.
-
B.
hasTraditionalSymbol
chosen
Indicates that something is associated with or represented by a conventional or culturally established symbol.
-
C.
hasPlantSymbol
Indicates that an entity is associated with or represented by a particular plant as its symbolic emblem or sign.
-
D.
hasNeighborhoodAlong
Indicates that one entity has a neighboring area or region that extends along the boundary or length of another entity.
-
E.
hasCorridor
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
- F. None of above.
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_69a4948689d08190b3a4a3f388c02148 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf44ac3c8190a28a333b320305fd |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb696a38819095845c84f0241287 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.