Triple
T26277762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Gatwick – Rio de Janeiro |
E660620
|
entity |
| Predicate | linkedMarket |
P32987
|
FINISHED |
| Object | UK–Brazil market |
—
|
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: UK–Brazil market | Statement: [London Gatwick – Rio de Janeiro, linkedMarket, UK–Brazil market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedMarket Context triple: [London Gatwick – Rio de Janeiro, linkedMarket, UK–Brazil market]
-
A.
relatedMarket
chosen
Indicates that two markets are connected or associated, such that activity, conditions, or changes in one market are relevant to or influence the other.
-
B.
sharesMarketWith
Indicates that two entities operate in or target the same market or customer segment, implying competitive or overlapping commercial presence.
-
C.
referenceMarket
Indicates that one entity serves as the benchmark or primary comparison market used to evaluate, price, or contextualize another entity.
-
D.
associatedBrandMarket
Indicates that a brand is linked to, operates in, or targets a particular market.
-
E.
marketsIn
Indicates that one entity promotes, sells, or offers another entity’s products or services within a particular market or geographic area.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 26, 2026, 9:57 p.m.