Triple
T16485790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gare Centrale |
E400434
|
entity |
| Predicate | servesTrain |
P6301
|
FINISHED |
| Object | The Ocean |
E550450
|
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: The Ocean | Statement: [Gare Centrale, servesTrain, The Ocean]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ocean Context triple: [Gare Centrale, servesTrain, The Ocean]
-
A.
The Ocean
chosen
"The Ocean" is a hard rock song by Led Zeppelin, known for its heavy riff, shifting time signatures, and closing position on their 1973 album "Houses of the Holy."
-
B.
Oceano
Oceano is a small coastal community in California known for its dunes, beaches, and outdoor recreation.
-
C.
Océan
Océan was a prominent French ship of the line that served as a flagship in major naval engagements during the age of sail.
-
D.
Océan
Océan is a coastal department in Cameroon's South Region, known for its Atlantic shoreline and port towns.
-
E.
Ob Sea
Ob Sea is a large artificial reservoir on the Ob River near Novosibirsk in southwestern Siberia, Russia, known for its significant role in regional water management and recreation.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e068fac8190a0971f548848fcfe |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582275308190a0fb3944d74916cf |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:13 a.m.