Triple
T5859108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Oeta |
E130229
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Lamia |
E288748
|
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: Lamia | Statement: [Mount Oeta, near, Lamia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamia Context triple: [Mount Oeta, near, Lamia]
-
A.
Lamia
Lamia is a narrative poem by John Keats that blends Greek myth, romance, and tragedy to explore themes of illusion, desire, and the conflict between enchantment and rationality.
-
B.
Lamia
chosen
Lamia is a historic city in central Greece, known as the capital of the regional unit of Phthiotis and a strategic hub between northern and southern Greece.
-
C.
Endymion
Endymion is a long Romantic narrative poem by John Keats, best known for its opening line, “A thing of beauty is a joy for ever.”
-
D.
Endymion
Endymion is a handsome mortal youth in Greek mythology who was granted eternal sleep and agelessness, famously beloved by the moon goddess Selene.
-
E.
Mares of Diomedes
The Mares of Diomedes are man-eating horses from Greek mythology that Heracles was tasked with capturing as one of his Twelve Labors.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0358790b88190a5e3c6473172dc53 |
completed | March 22, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1c3a69881908ffeee1ddbeb8618 |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:56 p.m.