Triple
T27308847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D1 motorway |
E689142
|
entity |
| Predicate | hasSectionStatus |
P102825
|
FINISHED |
| Object | partly completed |
—
|
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: partly completed | Statement: [D1 motorway, hasSectionStatus, partly completed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSectionStatus Context triple: [D1 motorway, hasSectionStatus, partly completed]
-
A.
hasSectionIn
Indicates that one entity contains or includes another entity as a section or subdivision within it.
-
B.
hasSectionOn
Indicates that one entity (typically a document or resource) contains a dedicated section or part that specifically addresses or discusses another entity or topic.
-
C.
hasSectionWith
Indicates that an entity contains or includes a specific section that satisfies certain conditions or characteristics.
-
D.
hasSectionRole
Indicates that an entity holds a specific role or function within a particular section or subdivision of a larger structure or context.
-
E.
hasSegmentStatus
chosen
Indicates that a specific segment within a larger whole is associated with a particular status or condition.
- 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_69ef355b931c8190a63cafaf7bcc008b |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: April 27, 2026, 11:26 a.m.