Triple
T9439523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahn-Dill-Kreis |
E227605
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Sinn |
E259689
|
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: Sinn | Statement: [Lahn-Dill-Kreis, hasMunicipality, Sinn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinn Context triple: [Lahn-Dill-Kreis, hasMunicipality, Sinn]
-
A.
Sinn
chosen
Sinn is a river in northern Bavaria, Germany, that flows through the Lower Franconia region.
-
B.
Meiningsen
Meiningsen is a village and district of the town of Soest in North Rhine-Westphalia, Germany.
-
C.
Nil Sine Numine
Nil Sine Numine is a Latin phrase meaning "Nothing without divine will" or "Nothing without the deity," expressing reliance on a higher power.
-
D.
SIN
SIN is the IATA airport code for Singapore Changi Airport, the main international gateway to Singapore and one of the world’s busiest and most acclaimed airports.
-
E.
Sines
Sines is a coastal town in Portugal known as the birthplace of the famed explorer Vasco da Gama.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee36f908190826994db91b18466 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1105909248190b3e02a1aa5f06b11 |
completed | April 4, 2026, 1:21 p.m. |
Created at: March 30, 2026, 7:50 p.m.