Triple
T6332504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copan Building |
E142414
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Copan |
E33683
|
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: Copan | Statement: [Copan Building, shortName, Copan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Copan Context triple: [Copan Building, shortName, Copan]
-
A.
Copán
chosen
Copán is an ancient Maya city in present-day Honduras renowned for its elaborate stone sculptures, hieroglyphic inscriptions, and well-preserved archaeological remains.
-
B.
Calakmul
Calakmul is a major ancient Maya city and archaeological site in the jungles of Mexico’s Yucatán Peninsula, known for its massive pyramids and extensive ruins.
-
C.
Palenque
Palenque is an ancient Maya city in modern-day Chiapas, Mexico, renowned for its well-preserved temples, palaces, and intricate inscriptions.
-
D.
Caracol
Caracol is a large ancient Maya city in present-day Belize, known for its extensive ruins, monumental architecture, and historical significance as a powerful regional center.
-
E.
Toltén
Toltén is a coastal Chilean municipality in the Araucanía Region, known for its riverside setting and fishing-based local economy.
- 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_69c008d4d8e88190ad301c05b08722ac |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651634b08190b54860ba0a70f5c4 |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c62d412bc88190aa8ee0a40ec8bc30 |
completed | March 27, 2026, 7:09 a.m. |
Created at: March 22, 2026, 4:30 p.m.