Triple
T709282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crete |
E14170
|
entity |
| Predicate | widthMax |
P13004
|
FINISHED |
| Object | approximately 60 kilometers |
—
|
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: approximately 60 kilometers | Statement: [Crete, widthMax, approximately 60 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widthMax Context triple: [Crete, widthMax, approximately 60 kilometers]
-
A.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
-
B.
hasApproximateMaximumWidth
chosen
Indicates that an entity’s maximum width is known only approximately, rather than as an exact value.
-
C.
minimumWidth
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
D.
maximumWeight
Indicates the greatest allowable or observed weight value associated with an entity or relationship.
-
E.
hasWidth
Indicates that an entity possesses a specific measurement or extent along its width dimension.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5c011948190b2cfccd8fe722742 |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f0217081908268b3f47e72f8df |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.