Triple
T6561613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itzaʼ |
E153795
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Mopan |
E411197
|
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: Mopan | Statement: [Itzaʼ, closelyRelatedTo, Mopan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mopan Context triple: [Itzaʼ, closelyRelatedTo, Mopan]
-
A.
Yaxuná
Yaxuná is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, notable for its long history of occupation and its strategic position within a network of pre-Hispanic causeways.
-
B.
Mopan Maya
chosen
Mopan Maya is a Mayan language spoken primarily by the Mopan people in Belize and Guatemala, known for its rich oral traditions and complex grammatical structure.
-
C.
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
D.
Mocorito
Mocorito is a historic town and municipality in the Mexican state of Sinaloa, known for its colonial architecture and cultural traditions.
-
E.
Cachantun
Cachantun is a Chilean bottled mineral water brand known for its natural spring sources and is part of Nestlé Waters’ beverage portfolio.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae37a5b0819091692fc5def270b9 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb90ffd48190996a64d79f516e2c |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:52 p.m.