Triple
T6015302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emperor Seamounts |
E133934
|
entity |
| Predicate | hasKeySeamount |
P25289
|
FINISHED |
| Object | Suiko Seamount |
E125547
|
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: Suiko Seamount | Statement: [Emperor Seamounts, hasKeySeamount, Suiko Seamount]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suiko Seamount Context triple: [Emperor Seamounts, hasKeySeamount, Suiko Seamount]
-
A.
Suiko Seamount
chosen
Suiko Seamount is an underwater volcanic mountain in the northwestern Pacific Ocean that forms part of the long, age-progressive Hawaiian–Emperor seamount chain.
-
B.
Kimmei Seamount
Kimmei Seamount is an underwater volcanic mountain in the North Pacific Ocean that forms part of the Emperor Seamount chain.
-
C.
Yomei Seamount
Yomei Seamount is an older underwater volcanic mountain in the Pacific Ocean that forms part of the Emperor Seamount chain.
-
D.
Yuryaku Seamount
Yuryaku Seamount is an underwater volcanic mountain that forms part of the long, age-progressive Hawaiian–Emperor seamount chain in the North Pacific Ocean.
-
E.
Jingu Seamount
Jingu Seamount is an underwater volcanic mountain that forms part of the Emperor Seamount chain in the North Pacific Ocean.
- 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_69c0087361a48190905c6b55969852b8 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560bae148190ad4755defaaf471b |
completed | March 22, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e3a5d54c8190b2bc8b3291f8ac2f |
completed | March 27, 2026, 1:55 a.m. |
Created at: March 22, 2026, 4:06 p.m.