Triple

T24964157
Position Surface form Disambiguated ID Type / Status
Subject Upper Takutu-Upper Essequibo E624692 entity
Predicate containsSettlement P847 FINISHED
Object Sand Creek
Sand Creek is a remote indigenous village in southern Guyana’s Upper Takutu-Upper Essequibo region, known for its Rupununi savannah landscape and traditional Makushi community.
 E1659829 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: Sand Creek | Statement: [Upper Takutu-Upper Essequibo, containsSettlement, Sand Creek]
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: Sand Creek
Triple: [Upper Takutu-Upper Essequibo, containsSettlement, Sand Creek]
Generated description
Sand Creek is a remote indigenous village in southern Guyana’s Upper Takutu-Upper Essequibo region, known for its Rupununi savannah landscape and traditional Makushi community.

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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f444d71d94819096f3ea984a42f63f completed May 1, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a103355135481909306042f5dab0339 completed May 22, 2026, 10:43 a.m.
NEDg Description generation batch_6a10343efd288190884ee9ebcb1b4afb completed May 22, 2026, 10:47 a.m.
NED2 Entity disambiguation (via description) batch_6a1034fb076881908947b97895c6bbc1 completed May 22, 2026, 10:50 a.m.
Created at: April 18, 2026, 5:59 a.m.