Triple
T19784710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ner |
E475229
|
entity |
| Predicate | hasNameForm |
P19207
|
FINISHED |
| Object | Nēr |
—
|
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: Nēr | Statement: [Ner, hasNameForm, Nēr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nēr Context triple: [Ner, hasNameForm, Nēr]
-
A.
Ner
chosen
Ner is a biblical figure mentioned in the Hebrew Bible, known primarily as the grandfather of King Saul and a member of the tribe of Benjamin.
-
B.
Ner
Ner is a town located in the Yavatmal district of Maharashtra, India, known primarily as a local agricultural and trading center.
-
C.
Ner
Ner is a river in central Poland that flows through the Łódź region before joining the Warta River.
-
D.
Neka
Neka is a city in northern Iran known for its location near the Caspian Sea and its role as an industrial and agricultural center in Mazandaran Province.
-
E.
Nieste
Nieste is a small settlement located within Germany's historic Westphalia region.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538715b8819080c6930e7d16ab58 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.