Triple
T26912038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Herndon (DD-638) |
E677413
|
entity |
| Predicate | roleInNormandy |
P38607
|
FINISHED |
| Object | escort and fire support ship |
—
|
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: escort and fire support ship | Statement: [USS Herndon (DD-638), roleInNormandy, escort and fire support ship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInNormandy Context triple: [USS Herndon (DD-638), roleInNormandy, escort and fire support ship]
-
A.
roleAtNormandy
chosen
Indicates the specific role, position, or function an entity held in the context of the Normandy event or setting.
-
B.
notableObjectiveInNormandy
Indicates that an entity had a significant goal, target, or mission specifically within the context of the Normandy campaign or region.
-
C.
FrenchRole
Indicates a role or position that an entity holds specifically within a French context (e.g., in France or related to French institutions, culture, or language).
-
D.
roleInNATO
Indicates the specific capacity, position, or function an entity holds within the organizational or operational structure of NATO.
-
E.
roleAtWaterloo
Indicates the specific position, function, or capacity an entity held in relation to the Battle of Waterloo.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fcc7338120819081cb46547d60f2cb |
completed | May 7, 2026, 5:09 p.m. |
| PD | Predicate disambiguation | batch_69fcc58566a0819082d5ea36e03bf0c6 |
completed | May 7, 2026, 5:01 p.m. |
Created at: April 27, 2026, 6:02 a.m.