Triple
T3574473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ABDA Command |
E75652
|
entity |
| Predicate | commanderInChiefRank |
P50667
|
FINISHED |
| Object | British Field Marshal |
—
|
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: British Field Marshal | Statement: [ABDA Command, commanderInChiefRank, British Field Marshal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commanderInChiefRank Context triple: [ABDA Command, commanderInChiefRank, British Field Marshal]
-
A.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
-
B.
chiefOfStaff
Indicates that one entity serves as the chief of staff for another entity, typically managing operations and coordinating activities on its behalf.
-
C.
commissionedOfficerRank
Indicates that one entity holds a rank that qualifies them as a commissioned officer in a formal organizational hierarchy.
-
D.
commanderUnitedStates
Indicates that one entity serves as the commander of a United States military or governmental unit, mission, or operation.
-
E.
militaryRank
Indicates that one entity holds a specific position or level within a hierarchical military ranking system relative to another entity.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0d928f08190830347b3b032178a |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adba25c66c81909a05a97327828c41 |
completed | March 8, 2026, 6:04 p.m. |
Created at: March 8, 2026, 3:21 p.m.