Triple
T23534692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ezbet El-Nakhl |
E576666
|
entity |
| Predicate | railwayStationInDistrict |
P153150
|
FINISHED |
| Object | Ezbet El-Nakhl metro station |
—
|
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: Ezbet El-Nakhl metro station | Statement: [Ezbet El-Nakhl, railwayStationInDistrict, Ezbet El-Nakhl metro station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railwayStationInDistrict Context triple: [Ezbet El-Nakhl, railwayStationInDistrict, Ezbet El-Nakhl metro station]
-
A.
railwayStationFor
Indicates a relationship where a railway station serves, is designated for, or primarily associated with a particular place, line, or service.
-
B.
otherRailwayStation
Indicates a relationship where one railway station is associated with another as a distinct but related station, such as an alternative, nearby, or counterpart station.
-
C.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
D.
hasRailwayStationOn
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
-
E.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
- F. None of above. chosen
Provenance (4 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_69e245f5a8848190a2ba42e271c6c31f |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae14ae3c8190aa2714ea07a4658a |
completed | April 29, 2026, 7:07 a.m. |
| PD | Predicate disambiguation | batch_69f1189d75b48190a1c01928a993c9fb |
completed | April 28, 2026, 8:29 p.m. |
| PDg | Predicate description generation | batch_69f12760784c8190aaeff002ef31febe |
completed | April 28, 2026, 9:32 p.m. |
Created at: April 17, 2026, 6:10 p.m.