Triple
T38468938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant General (United States Coast Guard) |
E912655
|
entity |
| Predicate | typicalBilateralEquivalence |
P119967
|
FINISHED |
| Object | NATO OF-8 |
E320406
|
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: NATO OF-8 | Statement: [Lieutenant General (United States Coast Guard), typicalBilateralEquivalence, NATO OF-8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalBilateralEquivalence Context triple: [Lieutenant General (United States Coast Guard), typicalBilateralEquivalence, NATO OF-8]
-
A.
typicalBilateralEquivalent
chosen
Indicates that two entities are considered standard or typical counterparts to each other in a bilateral relationship or comparison.
-
B.
isBilateral
Indicates that the relationship or interaction involves two sides, parties, or entities mutually.
-
C.
bilaterallyPaired
Indicates that the relationship or structure involves two corresponding or matching parts on opposite sides of a central axis.
-
D.
typeOfEquivalence
Indicates that two entities are considered equivalent under a specified notion or criterion of sameness.
-
E.
bilateralRole
Indicates a relationship where each of two entities holds a defined role with respect to the other in a mutual or two-sided interaction.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41ccb8f2248190ac41e04f300ce221 |
completed | June 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_6a037a1e32108190897356d6a7fed879 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:31 p.m.