Triple
T2208256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Grandson |
E50852
|
entity |
| Predicate | tookPlaceIn |
P40
|
FINISHED |
| Object | Grandson |
E50852
|
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: Grandson | Statement: [Battle of Grandson, tookPlaceIn, Grandson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grandson Context triple: [Battle of Grandson, tookPlaceIn, Grandson]
-
A.
Grandson
chosen
Grandson is a historic Swiss town in the canton of Vaud, known for its medieval castle and picturesque setting near Lake Neuchâtel.
-
B.
Grandy
Grandy is a surname of English origin borne by various notable individuals, including figures in military, political, and entertainment fields.
-
C.
Fils
The Fils is a river in the German state of Baden-Württemberg that flows through towns such as Göppingen before joining the Neckar.
-
D.
Four Sons
Four Sons refers to the traditional Passover Haggadah passage that characterizes four types of children—wise, wicked, simple, and the one who does not know how to ask—each with a distinct way of engaging with the story of the Exodus.
-
E.
Timothy
Timothy is the given first name of Sir Tim Berners-Lee, the British computer scientist who invented the World Wide Web.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfcd53b88190991961f103a3e09a |
completed | March 7, 2026, 6:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae654e22b48190bb40f7c61bb359b1 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.