Triple
T11872956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridlington |
E282446
|
entity |
| Predicate | hasSeasideResortStatus |
P10141
|
FINISHED |
| Object | popular seaside resort |
—
|
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: popular seaside resort | Statement: [Bridlington, hasSeasideResortStatus, popular seaside resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasideResortStatus Context triple: [Bridlington, hasSeasideResortStatus, popular seaside resort]
-
A.
isSeasideResort
chosen
Indicates that a place functions as a resort located by the sea, typically offering coastal leisure and tourism activities.
-
B.
isSeasideVillage
Indicates that a village is located directly by the sea or coastline.
-
C.
hasSeasideSetting
Indicates that something is situated in, near, or directly overlooking the sea or seashore.
-
D.
hasMarinaStatus
Indicates that an entity has a specific status or classification related to a marina (e.g., operational, planned, closed).
-
E.
hasCoastlineResort
Indicates that a geographic area or location contains a resort situated along its coastline.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:43 p.m.