Triple
T1262288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Minute Man |
E12526
|
entity |
| Predicate | hasReplicaOn |
P103
|
FINISHED |
| Object | Massachusetts state quarter reverse |
—
|
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: Massachusetts state quarter reverse | Statement: [The Minute Man, hasReplicaOn, Massachusetts state quarter reverse]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasReplicaOn Context triple: [The Minute Man, hasReplicaOn, Massachusetts state quarter reverse]
-
A.
hasReplicaDisplays
Indicates that an entity features or presents one or more replica items as displays.
-
B.
replicaOf
Indicates that one entity is an exact or near-exact copy of another entity, preserving its form, structure, or content.
-
C.
hasRepresentationIn
chosen
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
D.
hasRepository
Indicates that an entity maintains or is associated with a specific repository (such as a code, data, or content store).
-
E.
hasEntryOn
Indicates that one entity contains or includes an entry, record, or listing about another entity.
- F. None of above.
Provenance (3 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc77f4c8190b97a0ceaa31cfd49 |
completed | March 1, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6eefbc81908dddd7d2ef368186 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:50 p.m.