Triple
T3155727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Los Angeles |
E65980
|
entity |
| Predicate | locatedInAirspaceOf |
P22328
|
FINISHED |
| Object | France |
E861
|
NE FINISHED |
How this triple was built (3 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: France | Statement: [Paris–Los Angeles, locatedInAirspaceOf, France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Context triple: [Paris–Los Angeles, locatedInAirspaceOf, France]
-
A.
France
chosen
France is a major Western European nation known for its influential history, culture, and economy, and as a founding member of the European Union and the United Nations.
-
B.
France Ô
France Ô was a French public television channel dedicated to programming from France’s overseas departments and territories, operated by the France Télévisions group.
-
C.
France 5
France 5 is a French public television channel known for its focus on educational, cultural, and documentary programming.
-
D.
France 4
France 4 is a French public television channel, part of the France Télévisions group, known for broadcasting youth-oriented and family entertainment programming.
-
E.
France and Italy
France and Italy are neighboring European countries that share a long Alpine border, rich cultural heritage, and significant historical, economic, and touristic ties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInAirspaceOf Context triple: [Paris–Los Angeles, locatedInAirspaceOf, France]
-
A.
appliesToAirspaceOf
Indicates that a rule, restriction, or condition is specifically relevant to, or in effect within, a particular airspace.
-
B.
hasAirspace
chosen
Indicates that one entity possesses, controls, or is associated with a defined region of airspace relative to another entity or area.
-
C.
rangeAgainstAircraft
Indicates that one entity measures, determines, or engages the distance to an aircraft target.
-
D.
isAviationElementFor
Indicates that something serves as an aviation-related component, feature, or element specifically associated with or used for a particular object, system, or context.
-
E.
hasNearbyGeneralAviationAirport
Indicates that an entity is located close to a general aviation airport, such that the airport can reasonably serve it for non-commercial or private air traffic.
- F. None of above.
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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5e97548819084643586fff2e3cb |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24b42fd948190bc9bcf44692c84ca |
completed | March 12, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:05 p.m.