Triple
T6041533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spanish Campaign Medal |
E134555
|
entity |
| Predicate | campaignMedalPrecedence |
P68333
|
FINISHED |
| Object | pre-World War I U.S. campaign medals |
—
|
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: pre-World War I U.S. campaign medals | Statement: [Spanish Campaign Medal, campaignMedalPrecedence, pre-World War I U.S. campaign medals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: campaignMedalPrecedence Context triple: [Spanish Campaign Medal, campaignMedalPrecedence, pre-World War I U.S. campaign medals]
-
A.
medalFor
Indicates that a medal is awarded to an entity in recognition of a specific achievement, action, or service.
-
B.
hasMedalComponent
Indicates that something includes or is composed of a particular medal or medal-related part as one of its components.
-
C.
medalIn
Indicates that an entity has received a medal or award in a particular event, field, or competition.
-
D.
militaryAward
Indicates that an entity has received or been granted a specific military honor, decoration, or award.
-
E.
militaryAwardType
Indicates the specific category or kind of military honor or decoration associated with an award.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056d11370819096ac35349bd91f4e |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.