Triple
T23866525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vimy |
E592594
|
entity |
| Predicate | hasRepresentationOrder |
P29957
|
FINISHED |
| Object | 2013 representation order |
—
|
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: 2013 representation order | Statement: [Vimy, hasRepresentationOrder, 2013 representation order]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRepresentationOrder Context triple: [Vimy, hasRepresentationOrder, 2013 representation order]
-
A.
representationOrder
chosen
Indicates the sequence or hierarchy in which representations of entities are arranged or prioritized relative to one another.
-
B.
hasElementOrder
Indicates that one entity is ordered or ranked relative to another within a sequence or hierarchy.
-
C.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
D.
hasRankOrder
Indicates that one entity is ordered or positioned relative to others according to a specific ranking or sequence.
-
E.
hasOrderingMethod
Indicates that there is a specific method or procedure used to place or arrange an order for something.
- 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_69e25d22eb488190914b193aff952e83 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1cae47b40819080d1c5294ee59066 |
completed | April 29, 2026, 9:09 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:13 p.m.