Triple
T4401587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hart District |
E93629
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Fleet |
E74484
|
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: Fleet | Statement: [Hart District, containsSettlement, Fleet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fleet Context triple: [Hart District, containsSettlement, Fleet]
-
A.
Fleet
Fleet is a lightweight, next-generation integrated development environment (IDE) by JetBrains designed for collaborative, polyglot, and remote development.
-
B.
Fleet
chosen
Fleet is a town in Hampshire, England, known for its commuter links to London and surrounding areas.
-
C.
Flotta
Flotta is a small island in the Orkney archipelago of Scotland, known for its oil terminal and role in North Sea petroleum operations.
-
D.
Follow the Fleet
Follow the Fleet is a 1936 Hollywood musical film starring Fred Astaire and Ginger Rogers, known for its dance sequences, romantic comedy plot, and classic Irving Berlin songs.
-
E.
High Seas Fleet
The High Seas Fleet was the main battle fleet of the Imperial German Navy during World War I, best known for its clashes with the British Royal Navy, including the Battle of Jutland.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b352cf218481908d072fec58361f28 |
completed | March 12, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6135ecdc08190b2a7458614cf4c54 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:28 p.m.