Triple
T11799984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenosique |
E280598
|
entity |
| Predicate | roadAccessFrom |
P22549
|
FINISHED |
| Object | Palenque |
E31619
|
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: Palenque | Statement: [Tenosique, roadAccessFrom, Palenque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palenque Context triple: [Tenosique, roadAccessFrom, Palenque]
-
A.
Palenque
chosen
Palenque is an ancient Maya city in modern-day Chiapas, Mexico, renowned for its well-preserved temples, palaces, and intricate inscriptions.
-
B.
San Luis de Palenque
San Luis de Palenque is a rural municipality in eastern Colombia known for its cattle ranching, llanero (plains) culture, and location within the Orinoquía region.
-
C.
Yaxchilán
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.
-
D.
Copán
Copán is an ancient Maya city in present-day Honduras renowned for its elaborate stone sculptures, hieroglyphic inscriptions, and well-preserved archaeological remains.
-
E.
Oxkintok
Oxkintok is an ancient Maya archaeological site in Mexico’s Yucatán Peninsula, notable for its early architecture and long history of occupation.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a4512c8190b7782e1dee053000 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f131110aa081909aa0b0d532e473a5 |
completed | April 28, 2026, 10:13 p.m. |
Created at: April 8, 2026, 9:42 p.m.