Triple
T17100270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roma Termini railway station |
E414959
|
entity |
| Predicate | inauguratedCurrentBuilding |
P14622
|
FINISHED |
| Object | 1950 |
—
|
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: 1950 | Statement: [Roma Termini railway station, inauguratedCurrentBuilding, 1950]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inauguratedCurrentBuilding Context triple: [Roma Termini railway station, inauguratedCurrentBuilding, 1950]
-
A.
buildingInaugurationDate
chosen
Indicates the date on which a building was formally opened or inaugurated.
-
B.
inauguratedWith
Indicates that an event, position, or institution was formally initiated or opened through a specific ceremony, action, or accompanying element.
-
C.
openedAsCurrentBuilding
Indicates that an entity began operating or was inaugurated in its current building or physical premises.
-
D.
inauguralOccupancy
Indicates that an entity is the first occupant or user of a place, structure, or asset.
-
E.
inauguratedBefore
Indicates that one entity’s inauguration occurred earlier in time than another entity’s inauguration.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc0182cc8190b8aa9c980f11ba57 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d6b1b988190a8d6b6fe78c35e59 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.