Triple
T34253474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 369th Regimental Band |
E878807
|
entity |
| Predicate | associatedUnitOrigin |
P30515
|
FINISHED |
| Object | New York National Guard |
E882850
|
NE 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: New York National Guard | Statement: [369th Regimental Band, associatedUnitOrigin, New York National Guard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedUnitOrigin Context triple: [369th Regimental Band, associatedUnitOrigin, New York National Guard]
-
A.
associatedUnitType
Indicates that one entity is linked to or characterized by a particular type or category of unit.
-
B.
associatedWithUnit
Indicates that one entity has a connection, linkage, or affiliation with a particular unit (such as a division, department, or organizational subunit).
-
C.
originAssociatedWith
chosen
Indicates a relationship where an entity is connected to, derived from, or influenced by a particular origin, source, or point of beginning.
-
D.
associatedWithUnitRole
Indicates that an entity has a connection or linkage to a specific role within a particular unit or organizational subdivision.
-
E.
isRelatedUnit
Indicates that one unit has a defined relationship or association with another unit within a given system or context.
- F. None of above.
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_69f349b3618481909df955b063f305b2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36e61e6a488190963d23a8a2882782 |
completed | June 20, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:56 a.m.