Triple
T3369184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malvarrosa Beach |
E70911
|
entity |
| Predicate | hasRestaurantsNearby |
P40355
|
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: [Malvarrosa Beach, hasRestaurantsNearby, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRestaurantsNearby Context triple: [Malvarrosa Beach, hasRestaurantsNearby, yes]
-
A.
hasRestaurantsAndCafes
chosen
Indicates that the subject location contains or provides access to restaurants and cafés.
-
B.
hasRestaurant
Indicates that one entity possesses, operates, or contains a restaurant associated with it.
-
C.
nearbyVenue
Indicates that one venue is located close to another venue in physical space.
-
D.
hasAttractionNearby
Indicates that one entity is located close to another entity that serves as an attraction or point of interest.
-
E.
isDiningDestination
Indicates that a place serves as a destination where people go specifically to eat meals or dine.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2b9b1fc8190a2cbf040ea808baf |
completed | March 8, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69ada4317e288190ab7d0f66e9dba65f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.