Triple
T17048280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flores |
E413626
|
entity |
| Predicate | builtOnSiteOf |
P2012
|
FINISHED |
| Object | Nojpetén |
—
|
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: Nojpetén | Statement: [Flores, builtOnSiteOf, Nojpetén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nojpetén Context triple: [Flores, builtOnSiteOf, Nojpetén]
-
A.
Nojpetén
chosen
Nojpetén was the last independent Maya capital city, located on an island in Lake Petén Itzá in present-day Guatemala.
-
B.
Coatzintla
Coatzintla is a municipality in the northern part of the Mexican state of Veracruz, known for its proximity to the city of Poza Rica and its role in the region’s oil-producing economy.
-
C.
Xilitla
Xilitla is a picturesque town in the Huasteca region of San Luis Potosí, Mexico, known for its lush mountainous landscape and its association with surrealist art and architecture.
-
D.
Ocosingo
Ocosingo is a municipality and town in the Mexican state of Chiapas, known for its large indigenous population and proximity to important Maya archaeological sites such as Toniná.
-
E.
Cobá
Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3da9f799c8190a683ae38cd990643 |
completed | April 18, 2026, 7:25 p.m. |
Created at: April 10, 2026, 5:34 a.m.