Triple
T16805760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukenburg |
E408476
|
entity |
| Predicate | publicTransportAccessTo |
P1288
|
FINISHED |
| Object | Oss |
E131039
|
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: Oss | Statement: [Dukenburg, publicTransportAccessTo, Oss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oss Context triple: [Dukenburg, publicTransportAccessTo, Oss]
-
A.
Oss
chosen
Oss is a municipality and industrial city in the southern Netherlands, known historically for its pharmaceutical and meat-processing industries.
-
B.
Osse
Osse is a distant, little-detailed continent in the Forgotten Realms setting, inspired by Australian and Pacific cultures and largely unexplored in official lore.
-
C.
Ossi
Ossi is a small town in the Sardinian region of Gallura in Italy, known for its traditional rural character and proximity to important archaeological sites.
-
D.
OSO
OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
-
E.
Όσσα
Όσσα, also known as Mount Ossa or Kissavos, is a prominent mountain in Thessaly, Greece, situated between Mount Olympus and the Aegean Sea.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cc25dc81909443b2c83155267a |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b28d3a808190bc94a4f09a10da7e |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:22 a.m.