Triple
T6613191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silesian Voivodeship |
E149284
|
entity |
| Predicate | containsRiver |
P165
|
FINISHED |
| Object | Warta |
E310280
|
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: Warta | Statement: [Silesian Voivodeship, containsRiver, Warta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warta Context triple: [Silesian Voivodeship, containsRiver, Warta]
-
A.
Warta
chosen
Warta is a major river in western-central Poland that flows through several important cities before joining the Oder River.
-
B.
Habero
Habero is a town located in Eritrea's Anseba region, known primarily as a small agricultural and pastoral community.
-
C.
Trouw
Trouw is a Dutch daily newspaper known for its Christian-democratic roots and in-depth coverage of news, culture, and society.
-
D.
Spiegel
Spiegel is a surname most prominently associated with Evan Spiegel, the co-founder and CEO of Snap Inc.
-
E.
Asqual newspaper
Asqual newspaper is an Ethiopian independent publication known for its critical political reporting and association with journalist Serkalem Fasil.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3890408190a0edf2f813b93196 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44154a08190b031bb74624fba1e |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:57 p.m.