Triple
T33777129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francilienne (A104/N104) |
E865552
|
entity |
| Predicate | partlyOpen |
P12887
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Francilienne (A104/N104), partlyOpen, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partlyOpen Context triple: [Francilienne (A104/N104), partlyOpen, true]
-
A.
partiallyClosed
Indicates that something is not fully closed, but also not fully open, occupying an intermediate state of closure.
-
B.
partiallyReleased
Indicates that an entity has been released to some extent but not yet fully or completely released.
-
C.
partiallyEnclosed
Indicates that one entity surrounds or covers another entity to some extent, but not completely.
-
D.
partiallyOn
Indicates that one entity rests or extends over another such that only a portion of its area, volume, or length is supported or in contact.
-
E.
openedInPart
chosen
Indicates that an entity was opened or made accessible only partially, rather than fully or completely.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:45 a.m.