Triple
T14035242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latina |
E337694
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Latina railway station |
E337676
|
NE 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: Latina railway station | Statement: [Latina, hasTransport, Latina railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latina railway station Context triple: [Latina, hasTransport, Latina railway station]
-
A.
Latina railway station
chosen
Latina railway station is the main train station serving the city of Latina in the Lazio region of central Italy, providing regional and intercity rail connections.
-
B.
Núñez railway station
Núñez railway station is a commuter rail stop in the Núñez neighborhood of Buenos Aires, Argentina, serving local passenger traffic within the city’s metropolitan rail network.
-
C.
Torre railway station
Torre railway station is a suburban rail stop serving the Torre area of Torquay in Torbay, Devon, England, on the Riviera Line.
-
D.
Belen station
Belen station is a commuter rail station in Belen, New Mexico, serving as a key stop on the New Mexico Rail Runner Express line.
-
E.
Obrera station
Obrera station is a Mexico City Metro station on Line 8 serving the Obrera neighborhood in the Cuauhtémoc borough.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fac71188190a586049405f1071e |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc339d53c8190a9cd7027a716ff5f |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:20 p.m.