Triple
T19648735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alameda (Lisbon Metro) |
E471750
|
entity |
| Predicate | lineOpeningRole |
P57329
|
FINISHED |
| Object | original station of Lisbon Metro network |
—
|
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: original station of Lisbon Metro network | Statement: [Alameda (Lisbon Metro), lineOpeningRole, original station of Lisbon Metro network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineOpeningRole Context triple: [Alameda (Lisbon Metro), lineOpeningRole, original station of Lisbon Metro network]
-
A.
openingRole
chosen
Indicates the functional role or position an entity holds at the initial or starting phase of an event, process, or sequence.
-
B.
lineOpeningPhase
Indicates the phase or stage during which a line (such as a service, process, or system) is initially opened or brought into operation.
-
C.
lineupRole
Indicates the specific role or position an entity holds within a lineup or ordered group.
-
D.
lineOpeningOperator
Indicates that an operator is responsible for initiating or opening a line, such as a production line, communication line, or service line.
-
E.
roleOnLine1
Indicates that an entity holds a specific role or function associated with the first line of a multi-line structure or sequence.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641278e9881909bdf8d440ef6eba4 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.