Triple
T38436590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 918th Bomb Group |
E903961
|
entity |
| Predicate | garrisonLocationInFiction |
P126434
|
FINISHED |
| Object | Archbury air base |
—
|
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: Archbury air base | Statement: [918th Bomb Group, garrisonLocationInFiction, Archbury air base]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: garrisonLocationInFiction Context triple: [918th Bomb Group, garrisonLocationInFiction, Archbury air base]
-
A.
garrisonOrigin
Indicates that a garrison or stationed military force originates from, or was initially formed in, a specified location or source.
-
B.
garrisonPresentDayLocation
Indicates the current geographic location where a particular garrison is situated or stationed.
-
C.
fictionalLocationAssociatedWith
Indicates a relationship where a fictional entity (such as a character, event, or work) is connected to or set in a particular fictional location.
-
D.
notableFictionalLocationIn
Indicates that a fictional location is notably situated within or strongly associated with a particular larger place or setting.
-
E.
basedInFictionalWorkLocation
chosen
Indicates that an entity’s location or setting is situated within a fictional place as depicted in a specific creative work.
- 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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.