Triple
T16973692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pizol |
E411751
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Wangs |
E1216193
|
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: Wangs | Statement: [Pizol, nearestTown, Wangs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wangs Context triple: [Pizol, nearestTown, Wangs]
-
A.
Wangs
chosen
Wangs is a village in the municipality of Vilters-Wangs in the canton of St. Gallen, Switzerland, known as a local residential and alpine tourism area.
-
B.
Wang
Wang is a common Chinese surname shared by many notable figures across politics, arts, science, and sports.
-
C.
Wu
Wu is a common Chinese surname borne by many notable individuals across politics, academia, entertainment, and sports.
-
D.
Gong Gong Wang
Gong Gong Wang is the in-universe name of the trans-Neptunian dwarf planet Gonggong, a distant icy world in the outer Solar System.
-
E.
Wen
Wen was the personal given name of Emperor Yizong, a ninth-century ruler of China’s Tang dynasty.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0af06688190a77682aa297cd27e |
completed | April 18, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:31 a.m.