Triple
T26549629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaustad station |
E671640
|
entity |
| Predicate | formerLineType |
P15027
|
FINISHED |
| Object | tramway |
—
|
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: tramway | Statement: [Gaustad station, formerLineType, tramway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerLineType Context triple: [Gaustad station, formerLineType, tramway]
-
A.
formerLine
Indicates that an entity previously served as a particular transit or service line but no longer does so.
-
B.
lineType
chosen
Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
-
C.
formerLineName
Indicates that the object is a previous or former name by which the referenced line was known.
-
D.
formerLineLetter
Indicates that one entity is a letter that previously belonged to a particular line (such as a transit line or route) but no longer does.
-
E.
formerLineColor
Indicates that an entity previously had a specific line color before it was changed to a different one.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 27, 2026, 1:46 a.m.