Triple
T20133861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SecondLaborOfHeracles |
E490968
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Lerna |
—
|
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: Lerna | Statement: [SecondLaborOfHeracles, hasLocation, Lerna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lerna Context triple: [SecondLaborOfHeracles, hasLocation, Lerna]
-
A.
Lerna
chosen
Lerna is an ancient region in the Argolid of Greece, famed in mythology as the site of the Lernaean Hydra and important prehistoric settlements.
-
B.
Seriphos
Seriphos is a small Aegean island in Greek mythology best known as the place where Perseus was raised and later returned with the head of Medusa.
-
C.
Cyllene
Cyllene is a small, irregular, retrograde moon of Jupiter belonging to the planet’s outer group of distant satellites.
-
D.
Cyllene
Cyllene is a mountain in the northeastern Peloponnese of Greece, traditionally revered in Greek mythology as the birthplace of the god Hermes.
-
E.
Dodona
Dodona was an ancient Greek oracle and sanctuary in Epirus, renowned as one of the oldest religious sites dedicated to Zeus.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676556c481909ffc80cd2009b65a |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.