Triple
T31544958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Origin of the Sky |
E804849
|
entity |
| Predicate | hasNameInMayan |
P73760
|
FINISHED |
| Object |
Sian Ka'an
Sian Ka'an is a vast biosphere reserve on Mexico’s Caribbean coast, renowned for its rich biodiversity, tropical forests, wetlands, and coral reefs, and recognized as a UNESCO World Heritage Site.
|
E1967333
|
NE FINISHED |
How this triple was built (3 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: Sian Ka'an | Statement: [Origin of the Sky, hasNameInMayan, Sian Ka'an]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sian Ka'an Triple: [Origin of the Sky, hasNameInMayan, Sian Ka'an]
Generated description
Sian Ka'an is a vast biosphere reserve on Mexico’s Caribbean coast, renowned for its rich biodiversity, tropical forests, wetlands, and coral reefs, and recognized as a UNESCO World Heritage Site.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInMayan Context triple: [Origin of the Sky, hasNameInMayan, Sian Ka'an]
-
A.
hasNameInYucatecMaya
Indicates that an entity is known by a particular name when expressed in the Yucatec Maya language.
-
B.
hasNameInNahuatl
Indicates that an entity is known by or assigned a specific name expressed in the Nahuatl language.
-
C.
hasNameInClassicalNahuatl
Indicates that an entity is known by a specific name expressed in the Classical Nahuatl language.
-
D.
hasNameInQuechua
Indicates that an entity is known or referred to by a specific name in the Quechua language.
-
E.
hasMayaName
chosen
Indicates that an entity is associated with or identified by a specific name in the Maya language or naming system.
- F. None of above.
Provenance (6 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_69f348d11a048190a65eb8384a3754ac |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b2d89ecac8190a2055c0853dcb65e |
completed | June 11, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_6a2b2f6422e08190a882349b6f9204a9 |
completed | June 11, 2026, 9:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b2fec9a348190bdefb8e7747f7ef9 |
completed | June 11, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 30, 2026, 10:07 p.m.