Triple
T25531672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribunal (Madrid Metro) |
E639932
|
entity |
| Predicate | hasLine1Section |
P123700
|
FINISHED |
| Object | original section of Line 1 between Cuatro Caminos and Sol |
—
|
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: original section of Line 1 between Cuatro Caminos and Sol | Statement: [Tribunal (Madrid Metro), hasLine1Section, original section of Line 1 between Cuatro Caminos and Sol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLine1Section Context triple: [Tribunal (Madrid Metro), hasLine1Section, original section of Line 1 between Cuatro Caminos and Sol]
-
A.
hasLineSection
chosen
Indicates that an entity includes, contains, or is composed of a specific segment or section of a line.
-
B.
hasLines
Indicates that one entity contains, is composed of, or is associated with one or more linear elements or line segments.
-
C.
hasLineStructure
Indicates that one entity possesses or exhibits a linear arrangement or organization of its components.
-
D.
hasLineGroup
Indicates that one entity is associated with, or belongs to, a particular group or collection of lines.
-
E.
hasDeFactoLine
Indicates that there exists an unofficial or non-legally recognized boundary or demarcation line functioning in practice between the related entities.
- 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_69e75dbf3f9c8190b3f2a75d1b75d127 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 21, 2026, 3:14 p.m.