Triple
T8739441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | heavy cruiser Maya |
E207464
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mount Maya |
E651173
|
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: Mount Maya | Statement: [heavy cruiser Maya, namedAfter, Mount Maya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Maya Context triple: [heavy cruiser Maya, namedAfter, Mount Maya]
-
A.
Mount Maya
chosen
Mount Maya is a prominent peak near Kobe, Japan, famed for its panoramic night views over the city and Osaka Bay as part of the Rokkō mountain range.
-
B.
Mount Tlaloc
Mount Tlaloc is a prominent mountain in central Mexico that served as an important pre-Hispanic ceremonial and pilgrimage site dedicated to the rain god Tlaloc.
-
C.
Pacaya
Pacaya is an active stratovolcano in southern Guatemala known for its frequent eruptions and popularity as a hiking and lava-viewing destination.
-
D.
Mount Anacuao
Mount Anacuao is a prominent mountain peak in the Philippines, notable as the loftiest summit of the Sierra Madre range.
-
E.
Mount Isto
Mount Isto is a prominent peak in Alaska's remote Arctic region, notable for being the tallest mountain in the Brooks Range.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d486e34819094a6c6ec26c047cf |
completed | March 31, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42d5dd508190854fbbc2541aa819 |
completed | April 3, 2026, 4:32 a.m. |
Created at: March 30, 2026, 6:38 p.m.