Triple
T14768660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HMS Erebus |
E347070
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Erebus |
E51310
|
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: Erebus | Statement: [HMS Erebus, namedAfter, Erebus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erebus Context triple: [HMS Erebus, namedAfter, 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.
Yipounou
Yipounou is an alternate name for Yipunu, a Bantu language spoken primarily by the Punu people of Gabon.
-
C.
Goodricke
Goodricke is a surname of English origin, historically borne by several notable figures including astronomer John Goodricke.
-
D.
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.
-
E.
Hikurangi
Hikurangi is a small rural township in New Zealand’s Northland Region, known historically for coal mining and its proximity to scenic limestone and volcanic landscapes.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81236f081908063bb4350b7b985 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf86730819082cf3f502ec16a46 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.