Triple
T2282656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Cyllene |
E51315
|
entity |
| Predicate | associatedNymph |
P2830
|
FINISHED |
| Object | Maia |
E9356
|
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: Maia | Statement: [Mount Cyllene, associatedNymph, Maia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maia Context triple: [Mount Cyllene, associatedNymph, Maia]
-
A.
Maia
chosen
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
B.
Maia
Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
-
C.
Timothea
Timothea is a feminine given name derived from the name Timothy, often interpreted to mean "honoring God."
-
D.
Corinna
Corinna was an ancient Greek lyric poet from Boeotia, renowned for her choral poetry composed in the Aeolic dialect.
-
E.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc21d6d748190980128c1bc5b9621 |
completed | March 7, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71e8f7488190ab0c0c93910984fa |
completed | March 9, 2026, 7:08 a.m. |
Created at: March 4, 2026, 7:48 p.m.