Triple
T4999490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resolven |
E112331
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Tonna |
E112336
|
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: Tonna | Statement: [Resolven, hasNearbySettlement, Tonna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tonna Context triple: [Resolven, hasNearbySettlement, Tonna]
-
A.
Tonna
chosen
Tonna is a village and community in Neath Port Talbot, South Wales, known for its residential character and proximity to the town of Neath.
-
B.
Neopilina
Neopilina is a genus of deep-sea mollusks considered living fossils, providing key insights into the evolution and ancestral features of molluscan groups.
-
C.
Ammonite
Ammonite is a 2020 romantic drama film starring Kate Winslet as 19th-century paleontologist Mary Anning, exploring a fictionalized same-sex relationship on the English coast.
-
D.
Ammonite
Ammonite is an extinct Northwest Semitic language once spoken by the ancient Ammonite people in the region of modern-day Jordan.
-
E.
Anesidora
Anesidora is an epithet of the Greek goddess Demeter that emphasizes her role as the giver of gifts, especially the bounty of the earth.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72bc100c81908c3e02726e1ef8f6 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a38484881909893e5450dc33265 |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.