Triple
T2877716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lübeck |
E56916
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Trave |
E228990
|
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: Trave | Statement: [Lübeck, hasRiver, Trave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trave Context triple: [Lübeck, hasRiver, Trave]
-
A.
Trave
chosen
The Trave is a river in northern Germany that flows through the state of Schleswig-Holstein to the Baltic Sea, notably passing through the city of Lübeck.
-
B.
TRV
TRV is the stock ticker symbol for The Travelers Companies, a major U.S.-based insurance provider known for its property and casualty insurance products.
-
C.
Trife
Trife is a rapper best known as a member of the Brooklyn hip hop collective Junior M.A.F.I.A.
-
D.
Wanderlust
"Wanderlust" is a song by Paul McCartney from his 1982 album *Tug of War*, noted for its melodic richness and reflective lyrics.
-
E.
Pro Trek
Pro Trek is a Casio line of rugged outdoor watches designed for activities like hiking, trekking, and mountaineering, featuring advanced sensors and durability.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe007329c8190b0bc1851c7307124 |
completed | March 7, 2026, 8:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03158d0ec8190ba9675ece8f62033 |
completed | March 10, 2026, 2:57 p.m. |
Created at: March 6, 2026, 10:03 p.m.