Triple
T12353728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Erciyes |
E294555
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Argaios |
E631603
|
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: Argaios | Statement: [Mount Erciyes, alsoKnownAs, Argaios]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Argaios Context triple: [Mount Erciyes, alsoKnownAs, Argaios]
-
A.
Proetus
Proetus is a king in Greek mythology, often associated with the city of Tiryns and known for his conflicts with his twin brother Acrisius and his role in the story of Bellerophon.
-
B.
Alcarnus
Alcarnus is a once-prosperous desert trade city in the Diablo universe, located in the eastern region of Kehjistan.
-
C.
Gurnos
Gurnos is a residential area in South Wales located near the town of Ystradgynlais.
-
D.
Aethlius
chosen
Aethlius is a figure in Greek mythology, often regarded as an early king of Elis and associated with the lineage of heroic rulers.
-
E.
Azarethes
Azarethes was a prominent Sasanian Persian general noted for his role in the Iberian War against the Eastern Roman (Byzantine) Empire.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8aa33c8190b22b7dff9559b8ed |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab2dc30819082b12fa35f585762 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.