Triple

T26297686
Position Surface form Disambiguated ID Type / Status
Subject Temple of the Two-Headed Serpent E661461 entity
Predicate hasViewOf P854 FINISHED
Object Temple V at Tikal
Temple V at Tikal is one of the largest and oldest major pyramidal temples in the ancient Maya city of Tikal, notable for its steep profile and towering presence on the site’s central skyline.
E1778809 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: Temple V at Tikal | Statement: [Temple of the Two-Headed Serpent, hasViewOf, Temple V at Tikal]
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: Temple V at Tikal
Triple: [Temple of the Two-Headed Serpent, hasViewOf, Temple V at Tikal]
Generated description
Temple V at Tikal is one of the largest and oldest major pyramidal temples in the ancient Maya city of Tikal, notable for its steep profile and towering presence on the site’s central skyline.

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_69ee812cd48c81908054068f545f0526 completed April 26, 2026, 9:18 p.m.
NER Named-entity recognition batch_69f60eafb8a0819090f8db1feca43f64 completed May 2, 2026, 2:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12c580e3f8819089567eaa800600a6 completed May 24, 2026, 9:31 a.m.
NEDg Description generation batch_6a12c69ac394819082dae768061147bd completed May 24, 2026, 9:36 a.m.
NED2 Entity disambiguation (via description) batch_6a12c7295270819092a8b8ef0e3488a8 completed May 24, 2026, 9:38 a.m.
Created at: April 26, 2026, 10:13 p.m.