Triple
T15177050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Playa de San Cristóbal |
E362636
|
entity |
| Predicate | hasSeasideRestaurants |
P117014
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Playa de San Cristóbal, hasSeasideRestaurants, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSeasideRestaurants Context triple: [Playa de San Cristóbal, hasSeasideRestaurants, yes]
-
A.
hasRestaurantsAndBars
Indicates that the subject location contains or provides access to both restaurants and bars.
-
B.
isSeasideResort
Indicates that a place functions as a resort located by the sea, typically offering coastal leisure and tourism activities.
-
C.
hasNumberOfRestaurantsAndBars
Indicates the total count of restaurants and bars associated with a given entity.
-
D.
hasRestaurantsAndCafes
Indicates that the subject location contains or provides access to restaurants and cafés.
-
E.
isSeasideVillage
Indicates that a village is located directly by the sea or coastline.
- F. None of above. chosen
Provenance (4 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb97bd8bc8190b2ad4888f97cf963 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec72059c08190a34f513a00185b08 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:09 a.m.