Triple
T12112669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magallanes station |
E288470
|
entity |
| Predicate | hasTicketingArea |
P27344
|
FINISHED |
| Object | concourse level |
—
|
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: concourse level | Statement: [Magallanes station, hasTicketingArea, concourse level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTicketingArea Context triple: [Magallanes station, hasTicketingArea, concourse level]
-
A.
hasTicketCollectorArea
Indicates that a location or facility includes a designated area where ticket collectors operate or perform their duties.
-
B.
hasTicketing
Indicates that an entity provides or is associated with a system or mechanism for issuing, managing, or selling tickets.
-
C.
hasTicketHall
chosen
Indicates that a place or facility includes or is equipped with a designated ticket hall area for purchasing or validating tickets.
-
D.
hasTicketBooths
Indicates that one entity possesses or contains ticket booths used for selling or distributing tickets.
-
E.
hasTicketingAuthority
Indicates that an entity possesses the official power or permission to issue, manage, or control tickets for an event, service, or system.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9164ada5081908676bd9e5947268a |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150497408190921334d21503375a |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.