Triple
T30799239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lidra Caddesi |
E784318
|
entity |
| Predicate | hasPedestrianCrossingRegime |
P191587
|
FINISHED |
| Object | passport control on both sides |
—
|
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: passport control on both sides | Statement: [Lidra Caddesi, hasPedestrianCrossingRegime, passport control on both sides]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPedestrianCrossingRegime Context triple: [Lidra Caddesi, hasPedestrianCrossingRegime, passport control on both sides]
-
A.
hasPedestrianPriority
Indicates that pedestrians are given precedence or right-of-way over other road users in a particular context or area.
-
B.
hasPedestrianZoneStatus
Indicates whether an area or segment is designated as a pedestrian-only or pedestrian-priority zone and its corresponding status.
-
C.
hasPedestrianPhase
Indicates that a traffic signal includes a dedicated phase during which pedestrians are allowed to cross.
-
D.
isPedestrianGateway
Indicates that something serves as an access point or entrance specifically intended for use by pedestrians.
-
E.
hasPedestrianEnvironment
Indicates that a location or area provides facilities, conditions, or features suitable for pedestrian use and movement.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 29, 2026, 8:42 p.m.