Triple
T9077558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krosno |
E217525
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Ede |
E84526
|
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: Ede | Statement: [Krosno, twinTown, Ede]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ede Context triple: [Krosno, twinTown, Ede]
-
A.
Ede
chosen
Ede is a Dutch municipality and town known for its location near the Hoge Veluwe National Park in the province of Gelderland.
-
B.
Ede
Ede is a historic town and major urban center in southwestern Nigeria, known for its Yoruba heritage and role as a commercial hub in Osun State.
-
C.
Satala
Satala is a coastal village and harbor area on the island of Tutuila in American Samoa, known historically as a commercial and maritime hub near the capital region.
-
D.
Varedo
Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
-
E.
Mesta
Mesta is a well-preserved medieval fortified village on the Greek island of Chios, known for its maze-like streets and traditional stone architecture.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc95c7d3688190a4c1c6a92965eae4 |
completed | April 1, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe190c28819098ee017c75d72ad0 |
completed | April 3, 2026, 5:51 p.m. |
Created at: March 30, 2026, 7:12 p.m.