Triple
T10724525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naphish |
E252904
|
entity |
| Predicate | hasSibling |
P363
|
FINISHED |
| Object | Jetur |
E252903
|
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: Jetur | Statement: [Naphish, hasSibling, Jetur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jetur Context triple: [Naphish, hasSibling, Jetur]
-
A.
Jetur
chosen
Jetur is one of the sons of Ishmael mentioned in the Hebrew Bible, traditionally regarded as an ancestor of an Arab tribal group.
-
B.
Tjenu
Tjenu is an ancient Egyptian city better known by its Greek name Thinis, traditionally regarded as the early royal capital of unified Egypt.
-
C.
Taje
Taje is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
-
D.
Nydri
Nydri is a popular coastal village and tourist resort on the Greek island of Lefkada, known for its scenic harbor, nearby islets, and vibrant waterfront.
-
E.
Juvisiens
Juvisiens are the inhabitants of the French commune of Juvisy-sur-Orge, located in the southern suburbs of Paris.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d46234081908e147638d0cb7e22 |
completed | April 9, 2026, 2:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de847e0ee48190a4c1470fc5296213 |
completed | April 14, 2026, 6:16 p.m. |
Created at: April 8, 2026, 9:14 p.m.