Triple
T10037323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago Assembly |
E205202
|
entity |
| Predicate | hasFinalAssembly |
P36912
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chicago Assembly, hasFinalAssembly, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFinalAssembly Context triple: [Chicago Assembly, hasFinalAssembly, true]
-
A.
hasFinalAssemblyLine
chosen
Indicates that one entity serves as the final assembly line where another entity’s components or subassemblies are brought together and completed.
-
B.
hasAssembly
Indicates that an entity is composed of, or includes, one or more component parts assembled into a whole.
-
C.
finalAssemblyBy
Indicates that one entity is responsible for performing the last stage of assembling or putting together another entity.
-
D.
hasAssembler
Indicates that one entity is responsible for assembling, putting together, or constructing another entity.
-
E.
hasAssemblyLineFor
Indicates that one entity operates or contains an assembly line specifically used to produce, process, or assemble 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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcede428c8190ae115dc3425f9b0e |
completed | April 2, 2026, 2:05 a.m. |
| PD | Predicate disambiguation | batch_69cd4b8638508190b22acc65500ec7d6 |
completed | April 1, 2026, 4:44 p.m. |
Created at: March 30, 2026, 8:55 p.m.