Triple
T29873553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Santos-Dumont No. 6 dirigible |
E758657
|
entity |
| Predicate | takeoffSite |
P17887
|
FINISHED |
| Object | Parc Saint-Cloud |
—
|
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: Parc Saint-Cloud | Statement: [Santos-Dumont No. 6 dirigible, takeoffSite, Parc Saint-Cloud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: takeoffSite Context triple: [Santos-Dumont No. 6 dirigible, takeoffSite, Parc Saint-Cloud]
-
A.
takeoffBase
chosen
Indicates the location or base from which a takeoff (such as of an aircraft or flight) originates.
-
B.
regionOfTakeoff
Indicates the geographic region or area from which a takeoff event occurs.
-
C.
placeOfDeparture
Indicates the location from which an entity, such as a person or vehicle, begins its journey or movement.
-
D.
takeoffMethod
Indicates the method or procedure by which an aircraft or object initiates its takeoff from a surface or launch point.
-
E.
landingPlace
Indicates the location or surface where something or someone comes down to rest after moving through the air or space.
- 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_69f2245d0d7081909e37ee328542bcd7 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f676c7a4fc8190a980f9bc778a6043 |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:54 p.m.