Triple

T15830750
Position Surface form Disambiguated ID Type / Status
Subject Railroad Museum of Long Island E383860 entity
Predicate hasAbbreviation P43 FINISHED
Object RMLI
RMLI is a museum dedicated to preserving and interpreting the railroad history and heritage of Long Island, New York.
 E1179037 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: RMLI | Statement: [Railroad Museum of Long Island, hasAbbreviation, RMLI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RMLI
Context triple: [Railroad Museum of Long Island, hasAbbreviation, RMLI]
  • A. RMLAU
    RMLAU is a public state university located in Ayodhya, Uttar Pradesh, India, offering undergraduate and postgraduate programs across various disciplines.
  • B. RLM
    RLM was the abbreviation for the Reich Air Ministry, the government department responsible for overseeing aviation and the Luftwaffe in Nazi Germany.
  • C. MLI
    MLI is the three-letter ISO 3166-1 alpha-3 country code assigned to Mali.
  • D. MLI
    MLI is the IATA airport code for Quad Cities International Airport serving the Quad Cities region in Illinois and Iowa, United States.
  • E. RIMS
    RIMS (Ranging and Integrity Monitoring Station) is a ground-based monitoring facility used in satellite navigation systems like EGNOS to track GNSS signals and support accuracy and integrity corrections.
  • 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: RMLI
Triple: [Railroad Museum of Long Island, hasAbbreviation, RMLI]
Generated description
RMLI is a museum dedicated to preserving and interpreting the railroad history and heritage of Long Island, New York.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RMLI
Target entity description: RMLI is a museum dedicated to preserving and interpreting the railroad history and heritage of Long Island, New York.
  • A. RMLAU
    RMLAU is a public state university located in Ayodhya, Uttar Pradesh, India, offering undergraduate and postgraduate programs across various disciplines.
  • B. RLM
    RLM was the abbreviation for the Reich Air Ministry, the government department responsible for overseeing aviation and the Luftwaffe in Nazi Germany.
  • C. MLI
    MLI is the three-letter ISO 3166-1 alpha-3 country code assigned to Mali.
  • D. MLI
    MLI is the IATA airport code for Quad Cities International Airport serving the Quad Cities region in Illinois and Iowa, United States.
  • E. RIMS
    RIMS (Ranging and Integrity Monitoring Station) is a ground-based monitoring facility used in satellite navigation systems like EGNOS to track GNSS signals and support accuracy and integrity corrections.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e636bb48190a6b39feb550aaa3d completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999f9ccc8190bc859c2b78a16baf completed May 9, 2026, 8:31 p.m.
NEDg Description generation batch_69ff9bf7363c8190a65798028305b1da completed May 9, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69ff9c580d608190a7b3de11a924cba7 completed May 9, 2026, 8:43 p.m.
Created at: April 10, 2026, 4:49 a.m.