Triple
T33997571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 10 Nord (Barcelona Metro) |
E871715
|
entity |
| Predicate | isPartiallyOpened |
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: [Line 10 Nord (Barcelona Metro), isPartiallyOpened, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartiallyOpened Context triple: [Line 10 Nord (Barcelona Metro), isPartiallyOpened, true]
-
A.
partiallyClosed
Indicates that something is not fully closed, but also not fully open, occupying an intermediate state of closure.
-
B.
isPartially
Indicates that one entity is included within another to some extent, but not completely or fully.
-
C.
openedInPart
chosen
Indicates that an entity was opened or made accessible only partially, rather than fully or completely.
-
D.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
-
E.
isOpenIn
Indicates that one entity (such as a set or function) is open with respect to, or when considered within, another entity (typically a topological space or context).
- 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_69f3499f8cbc81908de6ec89fa91ea8f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff2eb19ad88190915fbbe08e8bc84e |
completed | May 9, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69ff2db5dd608190b7b7ba95f19c276c |
completed | May 9, 2026, 12:51 p.m. |
Created at: May 1, 2026, 1:50 a.m.