Triple
T36531871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WF-WAL |
E900466
|
entity |
| Predicate | codeSecondPart |
P185821
|
FINISHED |
| Object | WAL |
—
|
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: WAL | Statement: [WF-WAL, codeSecondPart, WAL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeSecondPart Context triple: [WF-WAL, codeSecondPart, WAL]
-
A.
secondPartBasedOn
Indicates that the second part of something is determined, derived, or constructed based on the first part.
-
B.
secondGenerationCode
Indicates that the subject is a second-generation version or iteration of a codebase, derived from and improving upon an earlier generation.
-
C.
secondPartRepresents
Indicates that one part of something serves as the representation, expression, or depiction of a preceding part.
-
D.
secondPartFormat
Indicates that the entity represents the format or structure of the second part or segment of a larger item or sequence.
-
E.
secondPartSeries
Indicates that one entity is the second installment or part in a series that includes the other entity.
- F. None of above. chosen
Provenance (4 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_69f76e5fbb388190b70c4c15573c8143 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c371931c8190afb1d4dd5157f92c |
completed | May 3, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b91fd88190ab85afd626603769 |
completed | May 3, 2026, 9:44 p.m. |
| PDg | Predicate description generation | batch_69f7c3705b5c81908c84004543a71c07 |
completed | May 3, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.