Triple
T4583852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Collar of the Order of Boyacá |
E101918
|
entity |
| Predicate | awardedOnOccasionOf |
P49170
|
FINISHED |
| Object | state visits |
—
|
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: state visits | Statement: [Grand Collar of the Order of Boyacá, awardedOnOccasionOf, state visits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedOnOccasionOf Context triple: [Grand Collar of the Order of Boyacá, awardedOnOccasionOf, state visits]
-
A.
awardCeremonyOccasion
Indicates that an award ceremony is held on, or in connection with, a particular occasion or event.
-
B.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
C.
awardedOnAnniversaryTo
Indicates that something is given as an award to a recipient specifically on the occasion of an anniversary.
-
D.
createdOnOccasionOf
Indicates that something was created specifically for, or in direct connection with, a particular event, occasion, or circumstance.
-
E.
awardGivenAt
chosen
Indicates that an award was conferred at a specific event, location, or occasion.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd590411dc81909c55d1c42a4d44ef |
completed | March 20, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69bd522acbcc8190bf24d9517793a2c1 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:10 p.m.