Triple
T23085294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maya |
E575580
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Mount Maya |
—
|
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: Mount Maya | Statement: [Maya, namedAfter, Mount Maya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Maya Context triple: [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.
Chuj Maya
Chuj Maya are an indigenous Maya people of the western highlands of Guatemala, known for their distinct Mayan language and traditional cultural practices.
-
C.
Mount Resplendent
Mount Resplendent is a prominent peak in the Canadian Rockies, known for its striking glaciated slopes and classic alpine climbing routes.
-
D.
Anaukpetlun
Anaukpetlun was a prominent 17th-century Burmese king who reunified much of Burma and restored the power of the Toungoo Dynasty after a period of fragmentation.
-
E.
Montaña de Celaque
Montaña de Celaque is a mountainous national park in western Honduras known for its cloud forests and for containing the country’s highest peak.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da573588190a8e0c859667e64a6 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.