Triple
T22233056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Denia |
E549516
|
entity |
| Predicate | hasApproximateSailingTimeToMallorca |
P70601
|
FINISHED |
| Object | 5 to 7 hours |
—
|
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: 5 to 7 hours | Statement: [Port of Denia, hasApproximateSailingTimeToMallorca, 5 to 7 hours]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateSailingTimeToMallorca Context triple: [Port of Denia, hasApproximateSailingTimeToMallorca, 5 to 7 hours]
-
A.
dateToReachMediterranean
Indicates the date on which an entity is expected or scheduled to arrive at, or first reach, the Mediterranean.
-
B.
distanceToBerlengas
Indicates the measured distance between a given entity’s location and the Berlengas.
-
C.
distanceToIbiza
Indicates the spatial distance between a given entity’s location and the location of Ibiza.
-
D.
travelTimeByFerry
chosen
Indicates the duration required to travel between two locations specifically using a ferry as the mode of transportation.
-
E.
distanceToMálaga
Indicates the spatial distance between a given entity and the location of Málaga.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf4e0348190b755a9ac0bc96cdd |
completed | April 28, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:38 p.m.