Triple
T23539242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saray El-Qobba |
E577692
|
entity |
| Predicate | partOfUrbanRailNetwork |
P134067
|
FINISHED |
| Object | primary urban rail network of Cairo |
—
|
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: primary urban rail network of Cairo | Statement: [Saray El-Qobba, partOfUrbanRailNetwork, primary urban rail network of Cairo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfUrbanRailNetwork Context triple: [Saray El-Qobba, partOfUrbanRailNetwork, primary urban rail network of Cairo]
-
A.
partOfTransitSystem
Indicates that something is a component or segment within a larger transit or transportation system.
-
B.
isRailwayStationInNetwork
Indicates that a railway station belongs to, and is served as part of, a particular railway network.
-
C.
subwayLine
Indicates that there is a subway line connection or service relationship between the referenced entities.
-
D.
isUrbanRailwayIn
Indicates that an urban railway system or line is located within or operates inside a specified geographic or administrative area.
-
E.
belongsToRailNetwork
chosen
Indicates that something is part of, or included within, a specific rail network.
- 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae19473881909aa65f9d36744502 |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f118afabd88190bd88f49597d120e8 |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:10 p.m.