Triple
T23324264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Javelin shuttle service |
E591243
|
entity |
| Predicate | marketingName |
P11546
|
FINISHED |
| Object | Javelin |
—
|
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: Javelin | Statement: [Javelin shuttle service, marketingName, Javelin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Javelin Context triple: [Javelin shuttle service, marketingName, Javelin]
-
A.
Javelin
chosen
Javelin is a high-speed train brand used for fast passenger rail services in the United Kingdom.
-
B.
Javelin
"Javelin" is a 2023 studio album by American singer-songwriter Sufjan Stevens that blends intimate folk songwriting with lush, experimental production.
-
C.
Javel
Javel is a neighborhood in Paris’s 15th arrondissement, historically known for its industrial past and association with the early Citroën automobile factories.
-
D.
Dardo
Dardo is the swashbuckling archer hero of the 1950 adventure film "The Flame and the Arrow," portrayed by Burt Lancaster.
-
E.
Spear
Spear is a common English surname borne by various notable individuals in fields such as the military, politics, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19787ee90819083416193efaab20f |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:08 p.m.