Triple

T32937984
Position Surface form Disambiguated ID Type / Status
Subject Medical Center station E842583 entity
Predicate pedestrianTunnelConnects P124479 FINISHED
Object NIH campus
The NIH campus is the main headquarters and research complex of the U.S. National Institutes of Health, located in Bethesda, Maryland.
 E2033243 NE FINISHED

How this triple was built (3 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: NIH campus | Statement: [Medical Center station, pedestrianTunnelConnects, NIH campus]
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: NIH campus
Triple: [Medical Center station, pedestrianTunnelConnects, NIH campus]
Generated description
The NIH campus is the main headquarters and research complex of the U.S. National Institutes of Health, located in Bethesda, Maryland.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: pedestrianTunnelConnects
Context triple: [Medical Center station, pedestrianTunnelConnects, NIH campus]
  • A. ropewayConnects
    Indicates that a ropeway (such as a cable car or gondola system) provides a direct transportation connection between two locations.
  • B. hasPedestrianAccessTo
    Indicates that a location or area can be reached or entered safely and directly by people on foot.
  • C. passagewayConnection chosen
    Indicates a relationship where one passageway provides a direct route or link between two locations or spaces.
  • D. hasSeparateBicycleTunnel
    Indicates that a roadway or route includes a distinct, dedicated tunnel specifically for bicycle traffic, separate from tunnels used by other modes of transport.
  • E. hasSubwayOrUnderpass
    Indicates that there exists a subway or underpass connecting or located at the related entities.
  • F. None of above.

Provenance (6 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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d10d78d08190a7e0f6ed3b827322 completed May 3, 2026, 4:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34dab3af908190aa46412036748820 completed June 19, 2026, 5:59 a.m.
NEDg Description generation batch_6a34dee6dfd48190925ac8668d211670 completed June 19, 2026, 6:17 a.m.
NED2 Entity disambiguation (via description) batch_6a34df60374481908daa2ae0bc9bd4d4 completed June 19, 2026, 6:19 a.m.
PD Predicate disambiguation batch_69f6cfe5f93c8190995c53dbbe380a32 completed May 3, 2026, 4:32 a.m.
Created at: May 1, 2026, 1:20 a.m.