Triple
T13159752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Westrec Marinas |
E312693
|
entity |
| Predicate | operatesInGeographicScope |
P20059
|
FINISHED |
| Object | multiple locations in the United States |
—
|
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: multiple locations in the United States | Statement: [Westrec Marinas, operatesInGeographicScope, multiple locations in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInGeographicScope Context triple: [Westrec Marinas, operatesInGeographicScope, multiple locations in the United States]
-
A.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
-
B.
operatesInCountries
chosen
Indicates that an entity conducts its activities or business within the specified countries.
-
C.
operatesToRegion
Indicates that an agent conducts operations or provides services directed toward or within a specified region.
-
D.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
E.
geographicReception
Indicates the geographic area or location where something (such as a work, message, or signal) is received, experienced, or has effect.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf054f88190b05ced98d5a22a62 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bbd1d088190b7c69f37fc6eeb64 |
completed | April 10, 2026, 11:46 p.m. |
Created at: April 9, 2026, 9:12 p.m.