Triple
T21460936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIU Hotels & Resorts |
E529468
|
entity |
| Predicate | operatesInMarketSegment |
P1670
|
FINISHED |
| Object | mid-range hotels |
—
|
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: mid-range hotels | Statement: [RIU Hotels & Resorts, operatesInMarketSegment, mid-range hotels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInMarketSegment Context triple: [RIU Hotels & Resorts, operatesInMarketSegment, mid-range hotels]
-
A.
operatesInSegment
chosen
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
-
B.
governsMarketSegment
Indicates that an entity has controlling influence or regulatory authority over a particular market segment.
-
C.
hasMarketSegmentFor
Indicates that an entity targets or serves a specific market segment for its products or services.
-
D.
sectorOfOperation
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
-
E.
hasRetailSegment
Indicates that an entity is associated with, operates within, or targets a specific retail market segment.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9ee10ec8190a606aa64001af35e |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631df1b38819088d3604854e697b4 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:09 p.m.