Triple
T30377747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle between USS Constitution and HMS Cyane and HMS Levant |
E772736
|
entity |
| Predicate | countryOfOriginOfHMSLevant |
P98626
|
FINISHED |
| Object | United Kingdom |
—
|
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: United Kingdom | Statement: [Battle between USS Constitution and HMS Cyane and HMS Levant, countryOfOriginOfHMSLevant, United Kingdom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfOriginOfHMSLevant Context triple: [Battle between USS Constitution and HMS Cyane and HMS Levant, countryOfOriginOfHMSLevant, United Kingdom]
-
A.
countryOfBritishShips
chosen
Indicates the country to which British ships belong or are registered.
-
B.
countryOfShipSunk
Indicates the country to which a ship that was sunk belonged or was registered.
-
C.
shipyardCountry
Indicates the country in which a given shipyard is located or to which it belongs.
-
D.
hullConstructedIn
Indicates that the hull of an object (such as a ship or vessel) was built or constructed at a specific location or facility.
-
E.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
- F. None of above.
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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
Created at: April 29, 2026, 8 p.m.