Triple
T19298516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelfth Labor of Heracles |
E482629
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Erebus |
—
|
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: Erebus | Statement: [Twelfth Labor of Heracles, hasLocation, Erebus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erebus Context triple: [Twelfth Labor of Heracles, hasLocation, Erebus]
-
A.
Erebus
chosen
Erebus is a primordial Greek deity personifying deep darkness and shadow, often associated with the underworld and the void between Earth and Tartarus.
-
B.
Mount Larsen
Mount Larsen is a mountain named in honor of Norwegian whaling pioneer and Antarctic explorer Carl Anton Larsen.
-
C.
Yipounou
Yipounou is an alternate name for Yipunu, a Bantu language spoken primarily by the Punu people of Gabon.
-
D.
Goodricke
Goodricke is a surname of English origin, historically borne by several notable figures including astronomer John Goodricke.
-
E.
Totaranui
Totaranui is a remote coastal settlement and popular golden-sand beach and campground on the northern edge of New Zealand’s Abel Tasman National Park.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc8852208190ba0337a9623d9bdf |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.