Triple
T24304372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holiday Inn Express |
E612491
|
entity |
| Predicate | operatingRegions |
P23381
|
FINISHED |
| Object | North America |
—
|
NE NERFINISHED |
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: North America | Statement: [Holiday Inn Express, operatingRegions, North America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingRegions Context triple: [Holiday Inn Express, operatingRegions, North America]
-
A.
operatesToRegion
chosen
Indicates that an agent conducts operations or provides services directed toward or within a specified region.
-
B.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
C.
operatesInCountries
Indicates that an entity conducts its activities or business within the specified countries.
-
D.
operatesBetweenRegion
Indicates a relationship in which an entity conducts operations or provides services that connect or span between two distinct regions.
-
E.
includedRegions
Indicates that certain regions are contained within, or form part of, a larger specified region or set of regions.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29224c7cc8190bd1a32318198326c |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:29 a.m.