Triple
T38108410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group F of The Canterbury Tales |
E951584
|
entity |
| Predicate | hasTraditionalOrderLabel |
P6837
|
FINISHED |
| Object | Group F |
—
|
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: Group F | Statement: [Group F of The Canterbury Tales, hasTraditionalOrderLabel, Group F]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalOrderLabel Context triple: [Group F of The Canterbury Tales, hasTraditionalOrderLabel, Group F]
-
A.
hasTraditionalOrderFollowedBy
Indicates that one item directly succeeds another according to an established or customary ordering.
-
B.
hasOrder
Indicates that one entity possesses, is associated with, or is characterized by a specific order, sequence, or arrangement relative to others.
-
C.
traditionalOrder
chosen
Indicates that entities are arranged or occur according to a customary, historically established sequence or hierarchy.
-
D.
indicatesOrder
Indicates that one entity specifies, signals, or defines the sequence or arrangement in which other entities should occur or be processed.
-
E.
hasNameOrder
Indicates the specific sequence or arrangement in which the components of a name (e.g., given name, family name, titles) are ordered.
- 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_69f76f065ed08190bdfb1b6d817f5b39 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
Created at: May 3, 2026, 4:21 p.m.