Triple
T19294300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Machlon |
E482521
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Chilion |
—
|
NE NERFINISHED |
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: Chilion | Statement: [Machlon, hasSibling, Chilion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chilion Context triple: [Machlon, hasSibling, Chilion]
-
A.
Chilion
chosen
Chilion is a minor biblical figure in the Old Testament, known as one of Naomi and Elimelech’s sons who died in Moab before the family’s return to Bethlehem.
-
B.
Saronida
Saronida is a coastal town and seaside resort in the Athens metropolitan area of Greece, known for its beaches and residential character.
-
C.
Vromolimni
Vromolimni is the former name of Lake Voulismeni, a small, steep-sided lake and popular tourist landmark in Agios Nikolaos on the Greek island of Crete.
-
D.
Meria
Meria is a small coastal commune in the Haute-Corse department on the island of Corsica in France.
-
E.
Seevetal
Seevetal is a large municipality in Lower Saxony, Germany, located just south of Hamburg and known for its suburban character and good transport connections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc84500c81908ac53711335ad2d9 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.