Triple
T7533393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Untere Aller |
E178083
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Aller |
E29543
|
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: Aller | Statement: [Untere Aller, partOf, Aller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aller Context triple: [Untere Aller, partOf, Aller]
-
A.
Aller
chosen
The Aller is a significant river in northern Germany that flows through Lower Saxony and serves as a major tributary of the Weser River.
-
B.
ALLA
ALLA is a professional organization within anthropology that focuses on the scholarship, advocacy, and interests of Latina and Latino communities.
-
C.
Allon
Allon is a Hebrew surname most notably associated with Israeli politician and general Yigal Allon.
-
D.
Allat
Allat is an ancient Arabian goddess associated with fertility, war, and protection, widely worshipped across pre-Islamic northern Arabia and the Syrian-Mesopotamian region.
-
E.
Aralle
Aralle is a dialect of the Aralle-Tabulahan language spoken by an indigenous community in West Sulawesi, Indonesia.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8493964819086aeddfa4872a70b |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8614787988190bb5479677f8485d2 |
completed | March 28, 2026, 11:16 p.m. |
Created at: March 27, 2026, 3:47 p.m.