Triple
T6935586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | western Maya lowlands |
E160545
|
entity |
| Predicate | hasMajorSite |
P5003
|
FINISHED |
| Object | Yaxchilan |
E168613
|
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: Yaxchilan | Statement: [western Maya lowlands, hasMajorSite, Yaxchilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaxchilan Context triple: [western Maya lowlands, hasMajorSite, Yaxchilan]
-
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.
Yaxchilán
chosen
Yaxchilán is an ancient Maya city renowned for its well-preserved architecture and intricately carved stone lintels along the Usumacinta River in present-day Mexico.
-
C.
Ixchiguán
Ixchiguán is a highland municipality in western Guatemala known for its cold climate, mountainous terrain, and traditional indigenous communities.
-
D.
Toltén
Toltén is a coastal Chilean municipality in the Araucanía Region, known for its riverside setting and fishing-based local economy.
-
E.
Totonicapán
Totonicapán is a town in western Guatemala known for its indigenous K’iche’ Maya population, traditional textiles, and role as the capital of the department of the same name.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da429b5c8190a59901e0005a5415 |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75151d5e48190b2389ae9049d1454 |
completed | March 28, 2026, 3:56 a.m. |
Created at: March 27, 2026, 2:27 p.m.