Triple
T36740543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-14 |
E907597
|
entity |
| Predicate | lineDesignationContext |
P171749
|
FINISHED |
| Object | Line M1 of the Warsaw Metro |
—
|
NE NERFINISHED |
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: Line M1 of the Warsaw Metro | Statement: [A-14, lineDesignationContext, Line M1 of the Warsaw Metro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDesignationContext Context triple: [A-14, lineDesignationContext, Line M1 of the Warsaw Metro]
-
A.
lineContext
Indicates the contextual relationship between a specific line (e.g., in text, code, or dialogue) and its surrounding lines or situational setting.
-
B.
lineDesignationIntroducedBy
Indicates that a particular line designation was introduced or established by a specific agent or source.
-
C.
lineExtensionContext
Indicates the broader situational or conversational context in which a particular line (such as a text line, code line, or dialogue line) is extended or continued.
-
D.
lineSymbol
Indicates that one entity is used as a line-style or line-representation symbol for another entity.
-
E.
designationContext
chosen
Indicates the situational or organizational setting within which a particular designation, title, or label is assigned to an 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_69f76e75aa6881909b844d00a3888ee5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.