Triple
T12175174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Module A |
E290068
|
entity |
| Predicate | hasTwinModule |
P96092
|
FINISHED |
| Object | Module B |
—
|
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: Module B | Statement: [Module A, hasTwinModule, Module B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTwinModule Context triple: [Module A, hasTwinModule, Module B]
-
A.
hasTwinFeature
Indicates that two entities share an identical or nearly identical feature, characteristic, or component, as if they are twins in that respect.
-
B.
hasTwinStructureWith
chosen
Indicates that two entities share an identical or nearly identical structural form, typically as corresponding or mirrored counterparts.
-
C.
isTwinWith
Indicates that two entities are twins, sharing the same birth parents and being born at (or very near) the same time.
-
D.
hasTwinHosts
Indicates that an entity is associated with two distinct hosts that are considered twins or paired counterparts.
-
E.
hasTwin
Indicates that one entity is a twin of another, sharing the same birth event or time with a sibling.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.