Triple
T12650483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Cithaeron |
E302143
|
entity |
| Predicate | modernGreekName |
P3659
|
FINISHED |
| Object | Kithairónas |
E316970
|
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: Kithairónas | Statement: [Mount Cithaeron, modernGreekName, Kithairónas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kithairónas Context triple: [Mount Cithaeron, modernGreekName, Kithairónas]
-
A.
Kithairon
chosen
Kithairon is a mountain in Greece traditionally associated with ancient Greek mythology and regional cults.
-
B.
Hippalcimus
Hippalcimus is a minor figure in Greek mythology known primarily as a son of Hippodamia.
-
C.
Astakos
Astakos is a coastal town in western Greece known as a regional port and ferry hub on the Ionian Sea.
-
D.
Menaphon
Menaphon is a 1589 pastoral romance and prose work by Robert Greene that blends love, adventure, and literary criticism, and is notable for its early connection to the Elizabethan literary scene.
-
E.
Eurytion
Eurytion is a herdsman in Greek mythology best known for guarding the cattle of the three-bodied giant Geryon, whom Heracles killed during his tenth labor.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9615f28cc81908e37249d7ab5ed74 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6719c18508190a9c28b2526e6b336 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:18 p.m.