Triple
T98733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan NYP monoplane |
E1991
|
entity |
| Predicate | notableFlightDate |
P925
|
FINISHED |
| Object | 1927-05-20 |
—
|
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: 1927-05-20 | Statement: [Ryan NYP monoplane, notableFlightDate, 1927-05-20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFlightDate Context triple: [Ryan NYP monoplane, notableFlightDate, 1927-05-20]
-
A.
notableEventDate
chosen
Indicates the date on which a notable or significant event associated with the subject occurred.
-
B.
dateObserved
Indicates the specific date on which an event, condition, or measurement was recorded or observed.
-
C.
notablePilot
Indicates that an entity is a distinguished or noteworthy pilot associated with another entity (such as a vehicle, event, or organization).
-
D.
date
Indicates that two entities are engaged in or participate in a romantic or social outing or relationship with each other.
-
E.
notableTrain
Indicates that there is a train or rail service associated with the subject that is considered notable or significant in some way.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24ff07d148190a59aee12c807659d |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24ebe7b1c8190a6bfbf31dc7c7f07 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:09 a.m.