Triple
T15391711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tempelhof (Berlin U-Bahn station) |
E368059
|
entity |
| Predicate | lineDesignationColor |
P34402
|
FINISHED |
| Object | purple (U6 line color) |
—
|
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: purple (U6 line color) | Statement: [Tempelhof (Berlin U-Bahn station), lineDesignationColor, purple (U6 line color)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDesignationColor Context triple: [Tempelhof (Berlin U-Bahn station), lineDesignationColor, purple (U6 line color)]
-
A.
networkColorOfLine
chosen
Indicates the color assigned to a specific line within a network (such as a transit or communication network).
-
B.
trackColor
Indicates the color associated with a given track in a context such as audio, video, or data sequencing.
-
C.
colorDesignationInName
Indicates that a color term is explicitly included as part of an entity’s name or title.
-
D.
lineDesignationIntroducedBy
Indicates that a particular line designation was introduced or established by a specific agent or source.
-
E.
lineSymbol
Indicates that one entity is used as a line-style or line-representation symbol for another entity.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e7727a081908eff45bbc1633c8a |
completed | April 16, 2026, 1:42 a.m. |
| PD | Predicate disambiguation | batch_69ded27b8cac8190bfa77698d53c5d1c |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:19 a.m.