Triple
T34979735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master’s Medal of the Guild of Air Pilots and Air Navigators |
E1008780
|
entity |
| Predicate | awardingBodySeat |
P194574
|
FINISHED |
| Object | City of London |
—
|
NE NERFINISHED |
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: City of London | Statement: [Master’s Medal of the Guild of Air Pilots and Air Navigators, awardingBodySeat, City of London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardingBodySeat Context triple: [Master’s Medal of the Guild of Air Pilots and Air Navigators, awardingBodySeat, City of London]
-
A.
establishedAsSeatIn
Indicates that an entity was officially designated or recognized as the administrative or official seat of another entity at a particular time or within a specific context.
-
B.
seatInBody
Indicates that something is positioned or installed within the main body or chassis of an object or structure.
-
C.
seatingPosition
Indicates the relative location or arrangement of an entity’s seat with respect to other seats or a reference point in a seating layout.
-
D.
hasSeatAt
Indicates that an entity occupies or holds a place, position, or membership within a specific group, body, or location.
-
E.
seatWinner
Indicates that a particular candidate or party has won a specific seat (e.g., in an election or contest).
- 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_69f76dc844a48190881951fffb83d17e |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd7b0503a08190ba07338365b6fcc9 |
completed | May 8, 2026, 5:56 a.m. |
| PD | Predicate disambiguation | batch_69fd7a9733dc81909199f453c0cc2bc1 |
completed | May 8, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69fd7b042a548190b3abe31bc3258278 |
completed | May 8, 2026, 5:56 a.m. |
Created at: May 3, 2026, 4:01 p.m.