Triple
T869572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deucalion |
E18779
|
entity |
| Predicate | offspring |
P980
|
FINISHED |
| Object | Thyia |
E89174
|
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: Thyia | Statement: [Deucalion, offspring, Thyia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thyia Context triple: [Deucalion, offspring, Thyia]
-
A.
Urana
Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
-
B.
Thale
Thale is a small town in the northern Harz region of central Germany, known for its dramatic Bode Gorge, surrounding cliffs, and role as a gateway to popular hiking and nature areas.
-
C.
Balclutha
Balclutha is a historic 19th-century steel-hulled sailing ship preserved as a museum vessel in San Francisco.
-
D.
Meliae
chosen
The Meliae are nymphs from Greek mythology associated with ash trees and often linked to the early generations of humanity and rustic woodland life.
-
E.
Harauti
Harauti is an Indo-Aryan dialect of the Rajasthani language spoken primarily in the Hadoti region of Rajasthan, India.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b84dcf748190b20372fdc48d6766 |
completed | March 4, 2026, 4:42 a.m. |
Created at: March 1, 2026, 7:39 p.m.