Triple
T22355514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Warka |
E552641
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Warka |
—
|
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: Warka | Statement: [Battle of Warka, location, Warka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warka Context triple: [Battle of Warka, location, Warka]
-
A.
Warka
Warka is the modern name for the ancient Mesopotamian city of Uruk, one of the world’s earliest major urban centers in present-day Iraq.
-
B.
Warka
chosen
Warka is a historic town in east-central Poland, known for its long-standing brewing tradition and scenic location along the Pilica River.
-
C.
Jarinu
Jarinu is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes, mild climate, and agricultural activities.
-
D.
Papanduva
Papanduva is a municipality in the state of Santa Catarina in southern Brazil, known for its rural landscape and small-town character.
-
E.
Ciampea
Ciampea is a district in West Java, Indonesia, known as part of the suburban and semi-rural area surrounding the city of Bogor.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157cf94508190b0f2c63ddfecb813 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.