Triple
T32219974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cozumel Municipality |
E823036
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Chankanaab National Park
Chankanaab National Park is a popular coastal eco-park on the island of Cozumel in Mexico, known for its snorkeling and diving sites, lagoon, botanical gardens, and marine-life encounters.
|
E2001080
|
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: Chankanaab National Park | Statement: [Cozumel Municipality, contains, Chankanaab National Park]
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: Chankanaab National Park Triple: [Cozumel Municipality, contains, Chankanaab National Park]
Generated description
Chankanaab National Park is a popular coastal eco-park on the island of Cozumel in Mexico, known for its snorkeling and diving sites, lagoon, botanical gardens, and marine-life encounters.
Provenance (5 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_69f3490b4f948190b99e4f999f5be25f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bbc4129481909d12bf4d5723dd3b |
completed | May 3, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3056f3c8a08190ba53459170634e35 |
completed | June 15, 2026, 7:48 p.m. |
| NEDg | Description generation | batch_6a30577fbaa88190ba55c619ab7c180b |
completed | June 15, 2026, 7:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3057fbec6081908738d3aa89e2ef68 |
completed | June 15, 2026, 7:52 p.m. |
Created at: May 1, 2026, 12:38 a.m.