Triple
T33796236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James the Red Engine |
E866080
|
entity |
| Predicate | hasCouplings |
P21783
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [James the Red Engine, hasCouplings, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCouplings Context triple: [James the Red Engine, hasCouplings, yes]
-
A.
hasCoupling
Indicates that two entities are linked or joined together in a way that allows them to interact, transfer, or coordinate motion, energy, or information.
-
B.
hasCouplers
chosen
Indicates that one entity is equipped with or possesses couplers that enable it to connect or link to another entity.
-
C.
hasCouplingConstant
Indicates that one entity is associated with a specific coupling constant value that quantifies the strength of an interaction or relationship.
-
D.
couplingCapability
Indicates the ability or suitability of one entity to connect, link, or interface with another in a functional or compatible manner.
-
E.
hasNumberOfLiaisons
Indicates the quantity of liaison roles, connections, or intermediary relationships associated with a given 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:46 a.m.