Triple
T3827051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lara Beach |
E88714
|
entity |
| Predicate | hasMainVisitors |
P34539
|
FINISHED |
| Object | international tourists |
—
|
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: international tourists | Statement: [Lara Beach, hasMainVisitors, international tourists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainVisitors Context triple: [Lara Beach, hasMainVisitors, international tourists]
-
A.
primaryVisitors
chosen
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
B.
hasVisitation
Indicates that one entity visits, or is allowed or scheduled to visit, another entity or location.
-
C.
hasVisitorServices
Indicates that an entity provides services or facilities specifically intended for visitors or guests.
-
D.
hasVisitorType
Indicates the type or category of visitor associated with an entity (e.g., guest, customer, tourist, patient).
-
E.
hasMainHost
Indicates that one entity serves as the primary or principal host for another entity.
- 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_69aed9538cf881909d9ce8ca4ac7c18c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8459f881908a2c91bb07e381ef |
completed | March 9, 2026, 3:47 p.m. |
| PD | Predicate disambiguation | batch_69aee74c2e04819094b94b3c0bac1806 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:17 p.m.