Triple
T7173234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Mineral, Kansas |
E167253
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Big Brutus |
E646726
|
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: Big Brutus | Statement: [West Mineral, Kansas, near, Big Brutus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Brutus Context triple: [West Mineral, Kansas, near, Big Brutus]
-
A.
Big Brutus
chosen
Big Brutus is a massive electric coal-mining shovel preserved as a museum and landmark in southeastern Kansas.
-
B.
Big Lug
Big Lug is the costumed mascot character for the Lansing Lugnuts minor league baseball team, known for entertaining fans at games and community events.
-
C.
Goliath
Goliath is a superhero identity in Marvel Comics most associated with scientist and Avenger Hank Pym, characterized by his ability to grow to gigantic size.
-
D.
Goliath
Goliath is a legal drama television series that follows a down-and-out lawyer seeking redemption by taking on powerful corporate and legal adversaries.
-
E.
Goliath
Goliath is the biblical Philistine giant warrior famously defeated by the young David with a sling and a stone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88c5b708190ab81622ea82c2d23 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf8a5d7c8190a7b52d46529dacb7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:48 p.m.