Triple
T9488521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lignes à grande vitesse network |
E228821
|
entity |
| Predicate | firstLineOpeningYear |
P44081
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [Lignes à grande vitesse network, firstLineOpeningYear, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineOpeningYear Context triple: [Lignes à grande vitesse network, firstLineOpeningYear, 1981]
-
A.
firstLineOpeningDate
chosen
Indicates the date on which the first line in a system, network, or service was officially opened or began operation.
-
B.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
C.
officialOpeningYear
Indicates the calendar year in which something was formally opened or inaugurated for official use.
-
D.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
-
E.
firstCreationYear
Indicates the year in which something was first created or originally produced.
- 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_69ca847424f081908180305555139f7a |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd80c5a05c8190b97d34f010e60ca1 |
completed | April 1, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69cca561e6b0819090aa795f3c3a2083 |
completed | April 1, 2026, 4:56 a.m. |
Created at: March 30, 2026, 7:55 p.m.