Triple
T10583061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ἔρεβος |
E249782
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Τάρταρος (Tartarus) |
E20351
|
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: Τάρταρος (Tartarus) | Statement: [Ἔρεβος, sibling, Τάρταρος (Tartarus)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Τάρταρος (Tartarus) Context triple: [Ἔρεβος, sibling, Τάρταρος (Tartarus)]
-
A.
Tartarus
chosen
Tartarus is the deep, gloomy abyss in Greek mythology used as a dungeon of torment and imprisonment for the Titans and other divine enemies.
-
B.
Tartaro
Tartaro is a river in northern Italy that flows through the Veneto and Lombardy regions before joining the Mincio.
-
C.
Averno
Averno is a 2006 poetry collection by Nobel Prize–winning American poet Louise Glück that meditates on themes of death, the underworld, and female identity through reimagined myth.
-
D.
Erebus (region of the underworld)
Erebus is a gloomy region of the Greek underworld associated with deep darkness and the shadowy realm between the world of the living and Hades.
-
E.
Pyriphlegethon
Pyriphlegethon is a fiery river of the underworld in Greek mythology, often depicted as a stream of burning flames associated with punishment and torment.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52767d2e0819099511e29e254bc34 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b59f80c81908afa84e4d9ffefc1 |
completed | April 10, 2026, 9:27 p.m. |
Created at: April 6, 2026, 12:39 p.m.