Triple
T30313032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sampson Medal |
E770975
|
entity |
| Predicate | clasps |
P169074
|
FINISHED |
| Object | bars for specific engagements or ships |
—
|
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: bars for specific engagements or ships | Statement: [Sampson Medal, clasps, bars for specific engagements or ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: clasps Context triple: [Sampson Medal, clasps, bars for specific engagements or ships]
-
A.
hasClasps
Indicates that one entity is equipped with or features clasps that fasten, secure, or attach it to another entity or its parts.
-
B.
claspWornAs
Indicates that a clasp is being used as a worn fastening or decorative attachment on an item.
-
C.
claspIndicates
Indicates a relationship where one entity grasps, holds, or fastens onto another, typically in a secure or enclosing manner.
-
D.
collarFeature
Indicates that one entity has a specific characteristic, detail, or attribute related to a collar.
-
E.
neckCharacteristic
Indicates that an entity has a specific attribute, feature, or quality related to its neck.
- 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6816ceb688190b2e5f01205f3c550 |
completed | May 2, 2026, 10:57 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:51 p.m.