Triple
T32183054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XLNX |
E822034
|
entity |
| Predicate | associatedWithExchangeCountry |
P120946
|
FINISHED |
| Object | United States |
E14
|
NE 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: United States | Statement: [XLNX, associatedWithExchangeCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithExchangeCountry Context triple: [XLNX, associatedWithExchangeCountry, United States]
-
A.
associatedWithExchange
Indicates a relationship in which an entity is linked or connected to a particular exchange or trading platform.
-
B.
hasPrimaryExchangeCountryCode
chosen
Indicates the country code of the main securities exchange on which an entity is primarily listed or traded.
-
C.
correspondsToCountry
Indicates that one entity is associated with, matches, or represents a specific country.
-
D.
associatedCountryCode
Indicates that there is a relationship linking something to the country identified by the given country code.
-
E.
associatedWithDepartureCountry
Indicates that there is a relationship linking something (such as a person, object, or event) to the country from which a departure takes place.
- F. None of above.
Provenance (4 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_69f3490755288190aee11740a34862f9 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34665e47f081909e93c04b75d7b7ea |
completed | June 18, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:34 a.m.