Triple
T17852210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Cambria |
E445835
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Cambria |
—
|
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: Cambria | Statement: [HMS Cambria, namedAfter, Cambria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cambria Context triple: [HMS Cambria, namedAfter, Cambria]
-
A.
Cambria
chosen
Cambria is the Latin name for Wales, historically used in scientific and poetic contexts, including the naming of the Cambrian geological period.
-
B.
Cambria
Cambria is a coastal village in California known for its scenic shoreline, Monterey pines, and proximity to attractions like Hearst Castle.
-
C.
Constantia
Constantia was a Roman noblewoman, traditionally identified as a daughter or close relative of Emperor Constantine the Great, after whom the city of Constanța is believed to be named.
-
D.
Constantia
Constantia is an affluent, historic suburb of Cape Town renowned for its wine estates, leafy scenery, and upmarket residential character.
-
E.
Consolata
Consolata is a religious woman, likely a nun, who resides in a convent as part of a Catholic or Christian monastic community.
- 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_69d8b9f26f18819089c9e43250bee6ae |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4900113f881908859f212c6ca3d9b |
completed | April 19, 2026, 8:19 a.m. |
Created at: April 10, 2026, 10:17 a.m.