Triple
T19832349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mares of Diomedes |
E476493
|
entity |
| Predicate | individualNameInSomeSources |
P24312
|
FINISHED |
| Object | Xanthos |
—
|
NE NERFINISHED |
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: Xanthos | Statement: [Mares of Diomedes, individualNameInSomeSources, Xanthos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xanthos Context triple: [Mares of Diomedes, individualNameInSomeSources, Xanthos]
-
A.
Xanthos
chosen
Xanthos was the principal ancient city of Lycia in southwestern Anatolia, known for its distinctive Lycian tombs and later Greek and Roman influences.
-
B.
Iasos
Iasos was an ancient Greek coastal city in Caria, in southwestern Asia Minor, known for its harbor, fisheries, and distinctive local culture.
-
C.
Oropos
Oropos is a coastal town and municipality in northeastern Attica, Greece, situated opposite the island of Euboea and known for its archaeological sites and seaside resorts.
-
D.
Telmessos
Telmessos was an ancient Lycian city in southwestern Anatolia, known as an important coastal settlement and religious center in classical antiquity.
-
E.
Myrina
Myrina is a legendary Amazon queen in Greek mythology, famed for leading military campaigns and expanding Amazon influence across parts of Africa and Asia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.