Triple

T8330032
Position Surface form Disambiguated ID Type / Status
Subject Papyrus 75 E195051 entity
Predicate alsoKnownAs P39 FINISHED
Object P75
P75 is an early 3rd-century Greek papyrus manuscript containing significant portions of the Gospels of Luke and John, valued for its importance in New Testament textual criticism.
 E725358 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: P75 | Statement: [Papyrus 75, alsoKnownAs, P75]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: P75
Context triple: [Papyrus 75, alsoKnownAs, P75]
  • A. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • B. P54C
    P54C is the second-generation Intel Pentium microprocessor core, notable for introducing a refined 0.35 μm design and improved performance over the original Pentium (P5).
  • C. P80
    P80 is a solid-fuel first-stage rocket motor used on the European Vega small-lift launch vehicle.
  • D. PB-05
    PB-05 is the regional vehicle registration code assigned to the Ferozepur district in the Indian state of Punjab.
  • E. P5
    P5 is the CERN Large Hadron Collider interaction point that hosts the CMS experiment and associated infrastructure.
  • 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: P75
Triple: [Papyrus 75, alsoKnownAs, P75]
Generated description
P75 is an early 3rd-century Greek papyrus manuscript containing significant portions of the Gospels of Luke and John, valued for its importance in New Testament textual criticism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: P75
Target entity description: P75 is an early 3rd-century Greek papyrus manuscript containing significant portions of the Gospels of Luke and John, valued for its importance in New Testament textual criticism.
  • A. S75
    S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
  • B. P54C
    P54C is the second-generation Intel Pentium microprocessor core, notable for introducing a refined 0.35 μm design and improved performance over the original Pentium (P5).
  • C. P80
    P80 is a solid-fuel first-stage rocket motor used on the European Vega small-lift launch vehicle.
  • D. PB-05
    PB-05 is the regional vehicle registration code assigned to the Ferozepur district in the Indian state of Punjab.
  • E. P5
    P5 is the CERN Large Hadron Collider interaction point that hosts the CMS experiment and associated infrastructure.
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb995508190b2ca94ad45bf6d24 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95c2c36481909793e9cd0c28168a completed April 1, 2026, 10:01 p.m.
NEDg Description generation batch_69cdab60ec308190a9001f9235e556b4 completed April 1, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69cdb2e3457c8190a2d0cb6eeb81c9ef completed April 2, 2026, 12:05 a.m.
Created at: March 30, 2026, 5:56 p.m.