Triple
T8910168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastchurch |
E212160
|
entity |
| Predicate | hasAviationHistory |
P10710
|
FINISHED |
| Object | early flying training ground |
—
|
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: early flying training ground | Statement: [Eastchurch, hasAviationHistory, early flying training ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAviationHistory Context triple: [Eastchurch, hasAviationHistory, early flying training ground]
-
A.
associatedWithAviationHistory
chosen
Indicates a relationship where something is connected or relevant to the history of aviation, such as its development, events, or milestones in flight.
-
B.
hasAviationTheme
Indicates that something is characterized by or designed around elements related to aviation, such as aircraft, flying, or air travel.
-
C.
associatedWithAviationMilestone
Indicates a relationship in which something is connected to, involved in, or plays a role in a significant event or achievement in the history or development of aviation.
-
D.
historicalAircraftOperated
Indicates that an entity previously operated a specific aircraft model during a past period, but no longer does so.
-
E.
aircraftFlown
Indicates that an entity (typically a person or organization) operates or pilots a particular aircraft.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc65227d008190b13ba162d0b3c9d1 |
completed | April 1, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69cc5ecf55248190a29f00fbf99f13c4 |
completed | March 31, 2026, 11:54 p.m. |
Created at: March 30, 2026, 6:55 p.m.