Triple
T26636262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shijak |
E668644
|
entity |
| Predicate | nearTransportCorridor |
P96747
|
FINISHED |
| Object | Tirana–Durrës corridor |
—
|
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: Tirana–Durrës corridor | Statement: [Shijak, nearTransportCorridor, Tirana–Durrës corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearTransportCorridor Context triple: [Shijak, nearTransportCorridor, Tirana–Durrës corridor]
-
A.
hasNearbyTransportationCorridor
chosen
Indicates that an entity is located close to a significant transportation route or corridor, such as a road, railway, or transit line.
-
B.
nearestMajorTransportHub
Indicates that one location is the closest significant transportation center (such as a major train station, airport, or bus terminal) to another location.
-
C.
parallelTransportCorridor
Indicates a relationship where one path, route, or connection is used to transport something in a way that preserves its structure or configuration relative to another, typically along a shared or corresponding trajectory.
-
D.
transportCorridor
Indicates a route or pathway used to move people, goods, or resources between locations.
-
E.
nearMetroStation
Indicates that one entity is located close to or within a short walking distance of a metro (subway) station.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6162b904c8190ad713c98b76eba16 |
completed | May 2, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:27 a.m.