Triple
T6281494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramal (Opera–Príncipe Pío shuttle) |
E140790
|
entity |
| Predicate | isShortLine |
P69841
|
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: [Ramal (Opera–Príncipe Pío shuttle), isShortLine, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortLine Context triple: [Ramal (Opera–Príncipe Pío shuttle), isShortLine, true]
-
A.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
B.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
C.
hasShortTitle
Indicates that an entity is associated with a brief or abbreviated title.
-
D.
isShortLived
Indicates that an entity exists or remains in a particular state for only a brief or limited period of time.
-
E.
isNarrow
Indicates that something has a small width or limited breadth relative to a reference or context.
- F. None of above. chosen
Provenance (4 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063dee62881908347283f16dcbe68 |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c05608a5608190b22a1fdc4060470d |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.