Triple

T25974715
Position Surface form Disambiguated ID Type / Status
Subject Desert Botanical Garden E645902 entity
Predicate hasEvent P811 FINISHED
Object Las Noches de las Luminarias
Las Noches de las Luminarias is a seasonal evening event at the Desert Botanical Garden in Phoenix featuring thousands of luminaria lanterns, live music, and holiday-themed festivities.
E1702942 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: Las Noches de las Luminarias | Statement: [Desert Botanical Garden, hasEvent, Las Noches de las Luminarias]
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: Las Noches de las Luminarias
Triple: [Desert Botanical Garden, hasEvent, Las Noches de las Luminarias]
Generated description
Las Noches de las Luminarias is a seasonal evening event at the Desert Botanical Garden in Phoenix featuring thousands of luminaria lanterns, live music, and holiday-themed festivities.

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_69e77e8768648190b27bb578f14bcb88 completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f60508b04c8190af744b1dbeffe4b4 completed May 2, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a110789d210819099ca65cae89fe645 completed May 23, 2026, 1:48 a.m.
NEDg Description generation batch_6a11084f81b0819097ab28a73ad970cb completed May 23, 2026, 1:52 a.m.
NED2 Entity disambiguation (via description) batch_6a1108d6dbfc8190b95ecc9466e182b9 completed May 23, 2026, 1:54 a.m.
Created at: April 22, 2026, 8:51 a.m.