Triple
T34951797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Beach and Seashore Company |
E1008017
|
entity |
| Predicate | typeOfResortDeveloped |
P203409
|
FINISHED |
| Object | 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: seaside resort | Statement: [American Beach and Seashore Company, typeOfResortDeveloped, seaside resort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfResortDeveloped Context triple: [American Beach and Seashore Company, typeOfResortDeveloped, seaside resort]
-
A.
developedAsResortDuring
Indicates that a place was developed or transformed into a resort during a specified time period.
-
B.
hasSkiResortType
Indicates that an entity is associated with, or classified by, a specific type or category of ski resort.
-
C.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
D.
skiResortBase
Indicates that a location serves as the base area or primary starting point of a ski resort.
-
E.
hasSkiLiftType
Indicates the specific type or category of ski lift associated with an entity.
- 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_69f76dc5d4308190b77553ee07b1ede6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a017590e01c8190b985bb50cc6cd605 |
completed | May 11, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_6a0175406b348190a5809b5f3497d46f |
completed | May 11, 2026, 6:20 a.m. |
| PDg | Predicate description generation | batch_6a01758ff6d0819087730892b3ea1c75 |
completed | May 11, 2026, 6:22 a.m. |
Created at: May 3, 2026, 4 p.m.