Triple

T1016710
Position Surface form Disambiguated ID Type / Status
Subject Rose M. Singer Center E21945 entity
Predicate alsoKnownAs P39 FINISHED
Object RMSC
RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
 E121606 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: RMSC | Statement: [Rose M. Singer Center, alsoKnownAs, RMSC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RMSC
Context triple: [Rose M. Singer Center, alsoKnownAs, RMSC]
  • A. RSM
    RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
  • B. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • C. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • D. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • E. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • 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: RMSC
Triple: [Rose M. Singer Center, alsoKnownAs, RMSC]
Generated description
RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RMSC
Target entity description: RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
  • A. RSM
    RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
  • B. RMC
    RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
  • C. RM
    RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
  • D. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • E. SOM
    SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c1e9d08190baf7e81f3777168d completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bb1b0bc819095af3b50bfebca1e completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3dd441fc8190ad462aa07e9c8c9b completed March 7, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_69ac3e45d9e88190bc88d037c00c3ecc completed March 7, 2026, 3:03 p.m.
Created at: March 1, 2026, 7:41 p.m.