Triple
T16232397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pyrgi |
E394015
|
entity |
| Predicate | hasSanctuaryDedicatedTo |
P37768
|
FINISHED |
| Object | Leukothea |
E518009
|
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: Leukothea | Statement: [Pyrgi, hasSanctuaryDedicatedTo, Leukothea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leukothea Context triple: [Pyrgi, hasSanctuaryDedicatedTo, Leukothea]
-
A.
Leucothea
chosen
Leucothea is a sea goddess in Greek mythology, often associated with aiding shipwrecked sailors and offering divine protection at sea.
-
B.
Amphicleia
Amphicleia was an ancient Greek city in the region of Phocis, known from classical sources for its strategic and regional significance.
-
C.
Diomedea
Diomedea is a genus of large albatrosses, renowned oceanic seabirds known for their impressive wingspans and long-distance soaring over open seas.
-
D.
Amphithea
Amphithea is a figure in Greek mythology known primarily as the mother of Anticlea, who in turn is the mother of Odysseus.
-
E.
Asteria
Asteria is a figure in Greek mythology, a Titaness associated with falling stars and nocturnal divination.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d2b0cc48190853919135d5a172a |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007a0ab08819082aea4c312c9ffc7 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:04 a.m.