Triple
T28807718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trendline |
E727424
|
entity |
| Predicate | offeredInRegion |
P164567
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Trendline, offeredInRegion, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredInRegion Context triple: [Trendline, offeredInRegion, Europe]
-
A.
isAvailableInRegion
chosen
Indicates that an entity can be accessed, used, or provided within a specified geographic or administrative region.
-
B.
availableInCountry
Indicates that something can be legally or practically obtained, accessed, or used within a specified country.
-
C.
issuerRegionServed
Indicates the geographic region or area that the issuer provides services to or operates within.
-
D.
distributionRegionsInclude
Indicates that certain geographic or market regions are encompassed within the overall distribution coverage of a product or service.
-
E.
catalogRegion
Indicates the geographic or organizational region associated with a given catalog or catalog entry.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 28, 2026, 6:29 a.m.