Triple
T30524954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza Constitución |
E776808
|
entity |
| Predicate | hasAdjacentTransportHub |
P15095
|
FINISHED |
| Object | Constitución railway 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: Constitución railway station | Statement: [Plaza Constitución, hasAdjacentTransportHub, Constitución railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentTransportHub Context triple: [Plaza Constitución, hasAdjacentTransportHub, Constitución railway station]
-
A.
hasTransportHub
Indicates that a location contains or serves as a central facility where multiple transport routes or modes connect for passenger or cargo movement.
-
B.
hasAdjacentBusStation
chosen
Indicates that one location has a bus station situated directly next to or very near it.
-
C.
isTransportHubBetween
Indicates that a location functions as a central node facilitating transportation connections between two or more other places.
-
D.
hasNearbyTransportationCorridor
Indicates that an entity is located close to a significant transportation route or corridor, such as a road, railway, or transit line.
-
E.
nearInternationalTransportHub
Indicates that one entity is located close to a major international transportation hub, such as an airport, seaport, or central rail terminal.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 29, 2026, 8:17 p.m.