Triple
T7705027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massacre of Vassy |
E174590
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vassy |
E174590
|
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: Vassy | Statement: [Massacre of Vassy, locatedIn, Vassy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vassy Context triple: [Massacre of Vassy, locatedIn, Vassy]
-
A.
Vassy
chosen
Vassy is a commune in northeastern France historically known as the site of the 1562 Massacre of Vassy, an event that helped ignite the French Wars of Religion.
-
B.
Kin Vassy
Kin Vassy was an American singer and songwriter best known for his work in country and pop music, including collaborations with artists like Kenny Rogers and Frank Zappa.
-
C.
Aloysya
Aloysya is a given name, typically a feminine variant of Aloysius, used in various cultures and languages.
-
D.
Vika
Vika is a central neighborhood in Oslo, Norway, known for its waterfront location, cultural institutions, and proximity to the city’s business district.
-
E.
Antoshka
Antoshka is a common Russian diminutive form of the male given name Anton, often used affectionately or informally.
- 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_69c6995b3e8c8190833108f883d5f53c |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7028d72708190a8c8aa94a7ec905b |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acc088148190ba5ba07e4ad2284c |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:03 p.m.