Triple
T16575611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liverpool Cruise Terminal |
E402700
|
entity |
| Predicate | hasPontoonWidth |
P3989
|
FINISHED |
| Object | 10 metres |
—
|
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: 10 metres | Statement: [Liverpool Cruise Terminal, hasPontoonWidth, 10 metres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPontoonWidth Context triple: [Liverpool Cruise Terminal, hasPontoonWidth, 10 metres]
-
A.
hasWidth
chosen
Indicates that an entity possesses a specific measurement or extent along its width dimension.
-
B.
hasPierLength
Indicates that one entity (typically a pier or similar structure) has a specified length measurement.
-
C.
hasSummitWidth
Indicates that an entity (typically a mountain or peak) has a specified measurement for the width of its summit area.
-
D.
hasRailWidth
Indicates that one entity has a specified width measurement for its rail or rails.
-
E.
hasStripeWidth
Indicates that one entity possesses stripes characterized by a specified width.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595cb65481909be62a52deff3d44 |
completed | April 18, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:16 a.m.