Triple
T33777106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anzani 3-cylinder fan engine |
E865551
|
entity |
| Predicate | locationOfFamousUse |
P146150
|
FINISHED |
| Object | Calais–Dover route |
E810238
|
NE 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: Calais–Dover route | Statement: [Anzani 3-cylinder fan engine, locationOfFamousUse, Calais–Dover route]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfFamousUse Context triple: [Anzani 3-cylinder fan engine, locationOfFamousUse, Calais–Dover route]
-
A.
notableLocationUse
Indicates that a location is notably used for a particular purpose, activity, or function associated with the subject.
-
B.
historicalLocationOf
Indicates that a place served as a significant site or setting for an entity during a particular historical period or event.
-
C.
notableLocationOn
Indicates that a particular location is especially significant or noteworthy in relation to a specified entity or context.
-
D.
emblematicBuildingLocation
Indicates that a building serves as a symbolic or representative landmark for a particular location or area.
-
E.
mostFamousSetting
chosen
Indicates the location or environment most strongly and widely associated with an entity, typically recognized as its best-known or iconic setting.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037e0953908190b2930b3c06a40129 |
completed | May 12, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3665853e70819099951b9d1c918b8d |
completed | June 20, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_6a0379f6c3308190b954f7810214ceed |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:45 a.m.