Triple
T14108703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daiquirí, Cuba |
E339575
|
entity |
| Predicate | dateOfNotableLanding |
P112845
|
FINISHED |
| Object | 1898 |
—
|
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: 1898 | Statement: [Daiquirí, Cuba, dateOfNotableLanding, 1898]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfNotableLanding Context triple: [Daiquirí, Cuba, dateOfNotableLanding, 1898]
-
A.
dateOfLanding
Indicates the specific calendar date on which a landing event took place.
-
B.
dateOfNotableFlight
Indicates the calendar date on which a particular notable or significant flight took place.
-
C.
firstFlightLandingDate
Indicates the calendar date on which an aircraft or flight successfully completed its first landing.
-
D.
firstLandingBy
Indicates that one entity is the earliest or initial instance to arrive, land, or touch down at a particular place or target relative to others.
-
E.
lastCrewedLandingDate
Indicates the calendar date on which the most recent crewed landing associated with the subject took place.
- F. None of above. chosen
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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600caf308190ab6d8451ed4e3797 |
completed | April 14, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.