Triple
T5126700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gyges |
E115601
|
entity |
| Predicate | hasAlternativeTransliteration |
P5923
|
FINISHED |
| Object | Gyes |
E116944
|
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: Gyes | Statement: [Gyges, hasAlternativeTransliteration, Gyes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gyes Context triple: [Gyges, hasAlternativeTransliteration, Gyes]
-
A.
Gyes
chosen
Gyes is an alternate name for Gyges, a figure from Greek mythology often associated with the Hecatoncheires, the hundred-handed giants.
-
B.
Gyoda
Gyoda is a historic city in eastern Japan known for its ancient rice paddies, traditional tabi sock production, and preserved castle town atmosphere.
-
C.
Gweru
Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
-
D.
Gugino
Gugino is the surname of American actress Carla Gugino, known for her versatile roles in film and television.
-
E.
Yagon
Yagon is a coastal camping and recreation area within New South Wales’ Myall Lakes National Park, known for its beaches, dunes, and bushland setting.
- 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_69bd444426bc819099ccd23f141e22aa |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78228b2081908c70efd3db71f8d4 |
completed | March 20, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec4beb7b48190a2f4e41a13fdd5f3 |
completed | March 21, 2026, 4:18 p.m. |
Created at: March 20, 2026, 1:42 p.m.