Triple
T3564770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor 82 |
E75418
|
entity |
| Predicate | markingLocation |
P35665
|
FINISHED |
| Object | fuselage of Enola Gay |
—
|
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: fuselage of Enola Gay | Statement: [Victor 82, markingLocation, fuselage of Enola Gay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: markingLocation Context triple: [Victor 82, markingLocation, fuselage of Enola Gay]
-
A.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
B.
marksOn
chosen
Indicates that one entity bears visible signs, traces, or imprints that have been made or left by another entity.
-
C.
marksBoundaryIn
Indicates that one entity serves as a boundary or delimiter within, or for a specific region or structure of, another entity.
-
D.
deltaLocation
Indicates a change or difference between two locations, typically specifying how one location has shifted relative to another.
-
E.
legendLocation
Indicates the place or setting where a particular legend, myth, or traditional story is situated or associated.
- 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_69ad85d512708190829c8b2d3a2ccfb8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0a76c008190a2056b6d990776fe |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb834779081908468e182d5f6cf02 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.