Triple
T10769769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 11 (Barcelona Metro) |
E254042
|
entity |
| Predicate | isShortestLineInSystem |
P95873
|
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 11 (Barcelona Metro), isShortestLineInSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isShortestLineInSystem Context triple: [Line 11 (Barcelona Metro), isShortestLineInSystem, true]
-
A.
isShortLine
Indicates that a line is relatively short in length compared to a standard or other lines.
-
B.
isOneOfNewestLinesInSystem
Indicates that the entity is among the most recently introduced or added lines within the system.
-
C.
isLinedWith
Indicates that one object or surface is covered, edged, or internally coated along its length or area with another material or layer.
-
D.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
E.
isBusyLine
Indicates that a communication line or channel is currently in use and cannot accept additional connections or calls.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d732307fb88190ba1447f68523c58a |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:16 p.m.