Triple
T3736661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neckar |
E79602
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Enz |
E88874
|
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: Enz | Statement: [Neckar, hasTributary, Enz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enz Context triple: [Neckar, hasTributary, Enz]
-
A.
Enz
chosen
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
-
B.
ENJA
ENJA is the ICAO airport code for Jan Mayensfield, the airfield serving the remote Norwegian island of Jan Mayen in the Arctic Ocean.
-
C.
Zezuru
Zezuru is a major dialect of the Shona language spoken primarily in central and northern Zimbabwe.
-
D.
Enejelar
Enejelar is a small settlement located on Ailuk Atoll in the Marshall Islands, likely serving as one of the atoll’s residential communities.
-
E.
Ennesi
Ennesi are the inhabitants or natives of the city of Enna in central Sicily, Italy.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb3d32b081909a993a78b0869db8 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db1e4cc48190bfc1078e9b06d2d9 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.