Triple
T16161957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinité – d’Estienne d’Orves |
E392199
|
entity |
| Predicate | integratedIntoParisMetro |
P8428
|
FINISHED |
| Object | 1931 |
—
|
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: 1931 | Statement: [Trinité – d’Estienne d’Orves, integratedIntoParisMetro, 1931]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratedIntoParisMetro Context triple: [Trinité – d’Estienne d’Orves, integratedIntoParisMetro, 1931]
-
A.
isPartOfOneOfOldestMetroLinesInContinentalEurope
Indicates that something belongs to one of the earliest-established metro (subway) lines located in continental Europe.
-
B.
isFirstMetroLineInCity
Indicates that a metro line is the earliest or original metro line established in a given city.
-
C.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
D.
hasTramway
Indicates that a location or area is served by, contains, or is connected to a tramway system.
-
E.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.