Triple
T19524919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Trumpan |
E488494
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Trumpan |
—
|
NE NERFINISHED |
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: Trumpan | Statement: [Battle of Trumpan, location, Trumpan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trumpan Context triple: [Battle of Trumpan, location, Trumpan]
-
A.
Trumpan
chosen
Trumpan is a small historic settlement on the Waternish peninsula of the Isle of Skye in Scotland, known for the ruins of Trumpan Church and its tragic 16th-century massacre.
-
B.
Rodemack
Rodemack is a historic fortified village in northeastern France, renowned for its well-preserved medieval ramparts and picturesque old town.
-
C.
Sperrle
Sperrle is a German surname most notably borne by Hugo Sperrle, a senior Luftwaffe field marshal during World War II.
-
D.
Tromp
Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
-
E.
Trulaske
Trulaske is the commonly used name for the Robert J. Trulaske, Sr. College of Business at the University of Missouri, a business school offering undergraduate and graduate programs in fields such as accounting, finance, and management.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63639cfc08190894ac67f7d861a25 |
completed | April 20, 2026, 2:20 p.m. |
Created at: April 10, 2026, 1:41 p.m.