Triple
T22530038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Likan Antai people |
E557008
|
entity |
| Predicate | historicalCenter |
P2536
|
FINISHED |
| Object | Peine |
—
|
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: Peine | Statement: [Likan Antai people, historicalCenter, Peine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peine Context triple: [Likan Antai people, historicalCenter, Peine]
-
A.
Peine
chosen
Peine is a town in Lower Saxony, Germany, known for its industrial history and location between Hanover and Brunswick.
-
B.
Peene
Peene is a small village in the Folkestone and Hythe District of Kent, in southeast England.
-
C.
Inn River
The Inn River is a major Alpine river in Central Europe that flows through Switzerland, Austria, and Germany before joining the Danube.
-
D.
Idenburg River
The Idenburg River is a significant tributary in the river system of New Guinea, contributing to the flow and drainage basin of the Mamberamo River.
-
E.
Pader River
The Pader River is a short spring-fed river in the German state of North Rhine-Westphalia, known for flowing through and giving its name to the city of Paderborn.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed5b5d081909d927f8aee44b673 |
completed | April 29, 2026, 1:28 a.m. |
Created at: April 16, 2026, 8:51 p.m.