Triple
T13158965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leipsoi |
E312670
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Leipsoi town |
E312670
|
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: Leipsoi town | Statement: [Leipsoi, capital, Leipsoi town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leipsoi town Context triple: [Leipsoi, capital, Leipsoi town]
-
A.
Leipsoi
chosen
Leipsoi is a small, tranquil Greek island in the Dodecanese known for its traditional villages, clear waters, and unspoiled natural scenery.
-
B.
Lankwitz
Lankwitz is a residential locality in the southwestern part of Berlin, known for its quiet neighborhoods, green spaces, and mix of historic and modern architecture.
-
C.
Bischofswerda
Bischofswerda is a small town in the Saxony region of eastern Germany, known as a local commercial and transport hub near the city of Dresden.
-
D.
Leisnig
Leisnig is a small historic town in the German state of Saxony, known for its medieval architecture and the prominent Mildenstein Castle overlooking the Mulde River.
-
E.
Premnitz
Premnitz is a small town in the Havelland region of Brandenburg, Germany, situated on the Havel River and known historically for its chemical industry.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c0971008190869e9de710f4c579 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5df07ec8190be64ed80d7e220b7 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:12 p.m.