Triple

T18238076
Position Surface form Disambiguated ID Type / Status
Subject Rocks of Ages E436732 entity
Predicate abbreviation P43 FINISHED
Object NOMA
NOMA is a commonly used abbreviation for the book "Rocks of Ages," which discusses the relationship between science and religion.
E1314453 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: NOMA | Statement: [Rocks of Ages, abbreviation, NOMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NOMA
Context triple: [Rocks of Ages, abbreviation, NOMA]
  • A. NTMN
    NTMN is the ICAO airport code for Hiva Oa Airport in the Marquesas Islands of French Polynesia.
  • B. NFM
    NFM is a large American home furnishings retailer best known for its massive Nebraska Furniture Mart stores offering furniture, appliances, electronics, and home décor.
  • C. GÉANT
    GÉANT is a pan-European research and education network organization that interconnects national research and education networks to support high-speed data communication and collaboration among universities and research institutions.
  • D. NSMIA
    NSMIA is a U.S. federal law enacted in 1996 that reallocated regulatory authority between federal and state governments over securities offerings and investment advisers to streamline and modernize securities regulation.
  • E. Lora
    Lora is a feminine given name, often considered a variant of Laura, used in various cultures.
  • 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: NOMA
Triple: [Rocks of Ages, abbreviation, NOMA]
Generated description
NOMA is a commonly used abbreviation for the book "Rocks of Ages," which discusses the relationship between science and religion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: NOMA
Target entity description: NOMA is a commonly used abbreviation for the book "Rocks of Ages," which discusses the relationship between science and religion.
  • A. NTMN
    NTMN is the ICAO airport code for Hiva Oa Airport in the Marquesas Islands of French Polynesia.
  • B. NFM
    NFM is a large American home furnishings retailer best known for its massive Nebraska Furniture Mart stores offering furniture, appliances, electronics, and home décor.
  • C. GÉANT
    GÉANT is a pan-European research and education network organization that interconnects national research and education networks to support high-speed data communication and collaboration among universities and research institutions.
  • D. NSMIA
    NSMIA is a U.S. federal law enacted in 1996 that reallocated regulatory authority between federal and state governments over securities offerings and investment advisers to streamline and modernize securities regulation.
  • E. Lora
    Lora is a town and union council located in the Abbottabad District of Pakistan’s Khyber Pakhtunkhwa province.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e0a0ac819090d48ae45b1ebfc9 completed April 19, 2026, 3:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03ac6d44d881908972c94167ad7d43 completed May 12, 2026, 10:40 p.m.
NEDg Description generation batch_6a03ad4d5bcc8190a5e065a5bb897400 completed May 12, 2026, 10:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03af1fb1e0819095c9e8cb5528ce30 completed May 12, 2026, 10:52 p.m.
Created at: April 10, 2026, 10:33 a.m.