Triple

T24678807
Position Surface form Disambiguated ID Type / Status
Subject Lagodekhi Protected Areas E611065 entity
Predicate hasTrail P3625 FINISHED
Object Black Rock Lake trail
Black Rock Lake trail is a popular hiking route in Georgia’s Lagodekhi Protected Areas that leads through diverse mountain landscapes to the scenic alpine Black Rock Lake on the border with Dagestan.
E1648538 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: Black Rock Lake trail | Statement: [Lagodekhi Protected Areas, hasTrail, Black Rock Lake trail]
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: Black Rock Lake trail
Triple: [Lagodekhi Protected Areas, hasTrail, Black Rock Lake trail]
Generated description
Black Rock Lake trail is a popular hiking route in Georgia’s Lagodekhi Protected Areas that leads through diverse mountain landscapes to the scenic alpine Black Rock Lake on the border with Dagestan.

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_69e2c4d5c2dc8190ac857dea25ec6ce9 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f40fbe0b888190889cf9a529e84aac completed May 1, 2026, 2:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a100ffa74808190a000df2e92e438fc completed May 22, 2026, 8:12 a.m.
NEDg Description generation batch_6a10136992b481909ee04d5c09867f21 completed May 22, 2026, 8:27 a.m.
NED2 Entity disambiguation (via description) batch_6a10140b2fec8190aa6d805f54926b56 completed May 22, 2026, 8:30 a.m.
Created at: April 18, 2026, 3:08 a.m.