Triple
T25785690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenian Brotherhood (as submarine designer) |
E649411
|
entity |
| Predicate | purposeOfSubmarines |
P159265
|
FINISHED |
| Object | attack British warships |
—
|
LITERAL 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: attack British warships | Statement: [Fenian Brotherhood (as submarine designer), purposeOfSubmarines, attack British warships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purposeOfSubmarines Context triple: [Fenian Brotherhood (as submarine designer), purposeOfSubmarines, attack British warships]
-
A.
submarine
Indicates that one entity is a submarine in relation to another entity or context.
-
B.
engagedSubmarines
Indicates that one entity took hostile or combat action against submarines belonging to another entity.
-
C.
submarineProgramInvolves
Indicates that a submarine-related program includes or engages a particular entity, activity, or component as part of its scope or operations.
-
D.
primarySubmarineClassSupported
Indicates that an entity is designed to support, service, or operate primarily with a specific class of submarines.
-
E.
submergedForPurpose
Indicates that one entity is intentionally placed or kept under a liquid or surface in order to achieve a specific purpose or outcome.
- F. None of above. chosen
Provenance (4 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fefa2c908190939ca0f6f68420ad |
completed | May 2, 2026, 1:41 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 5:54 a.m.