Triple

T4462286
Position Surface form Disambiguated ID Type / Status
Subject Naval Station Great Lakes E98282 entity
Predicate hasGate P4365 FINISHED
Object Gate 3
Gate 3 is one of the primary access control points for entering and exiting Naval Station Great Lakes, the U.S. Navy’s largest training installation.
 E443192 NE FINISHED

How this triple was built (4 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: Gate 3 | Statement: [Naval Station Great Lakes, hasGate, Gate 3]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gate 3
Context triple: [Naval Station Great Lakes, hasGate, Gate 3]
  • A. New Gate
    New Gate is one of the historic entrances in the walls of Jerusalem’s Old City, providing access to the Christian Quarter and reflecting late Ottoman-era modifications to the ancient fortifications.
  • B. Thunder Gate
    Thunder Gate is the iconic outer entrance gate to Tokyo’s Sensō-ji Temple, famous for its massive red lantern and statues of protective deities.
  • C. Crossgates
    Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
  • D. The Door
    "The Door" is a pivotal and emotionally charged episode of Game of Thrones renowned for revealing the origin of Hodor's name and fate.
  • E. Gatekeeper
    Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Gate 3
Triple: [Naval Station Great Lakes, hasGate, Gate 3]
Generated description
Gate 3 is one of the primary access control points for entering and exiting Naval Station Great Lakes, the U.S. Navy’s largest training installation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gate 3
Target entity description: Gate 3 is one of the primary access control points for entering and exiting Naval Station Great Lakes, the U.S. Navy’s largest training installation.
  • A. New Gate
    New Gate is one of the historic entrances in the walls of Jerusalem’s Old City, providing access to the Christian Quarter and reflecting late Ottoman-era modifications to the ancient fortifications.
  • B. Thunder Gate
    Thunder Gate is the iconic outer entrance gate to Tokyo’s Sensō-ji Temple, famous for its massive red lantern and statues of protective deities.
  • C. Crossgates
    Crossgates is a small village in Fife, Scotland, situated near the town of Dalgety Bay.
  • D. The Door
    "The Door" is a pivotal and emotionally charged episode of Game of Thrones renowned for revealing the origin of Hodor's name and fate.
  • E. Gatekeeper
    Gatekeeper is a macOS security feature that helps protect users by allowing only trusted software to run on the system.
  • F. None of above. chosen

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_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567716a4819092a5bc9732e74592 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6284b90708190b557b66bd7533f4e completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b629532cac8190b959adc0ef13305a completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62d9c287c8190a305f9d21517f913 completed March 15, 2026, 3:55 a.m.
Created at: March 12, 2026, 11:34 p.m.