Triple

T30600725
Position Surface form Disambiguated ID Type / Status
Subject Tengwar E778894 entity
Predicate hasAdditionalMarks P185958 FINISHED
Object punctuation signs LITERAL FINISHED

How this triple was built (2 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: punctuation signs | Statement: [Tengwar, hasAdditionalMarks, punctuation signs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdditionalMarks
Context triple: [Tengwar, hasAdditionalMarks, punctuation signs]
  • A. mayHaveMarkings
    Indicates that an entity is permitted or able to possess certain markings or distinguishing signs.
  • B. hasAdditionalLetters
    Indicates that one entity contains extra or more letters than another entity, beyond a specified base set or reference.
  • C. reportedMarks
    Indicates that an entity has formally communicated or submitted the marks/grades of another entity (such as a student or assessment) to a relevant party or system.
  • D. hasProofMark
    Indicates that an entity bears a specific proof mark signifying it has passed an official test or inspection.
  • E. hasMeasurementMarkings
    Indicates that one entity bears visible measurement indicators or scale markings on its surface for quantifying something.
  • F. None of above. chosen

Provenance (4 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_69f224a1570c8190a85d3ac330479a79 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f7c83f5960819089610ed39c839678 completed May 3, 2026, 10:12 p.m.
PD Predicate disambiguation batch_69f7c475c58c8190a883554231e88c88 completed May 3, 2026, 9:56 p.m.
PDg Predicate description generation batch_69f7c776b4088190bef550c869da530d completed May 3, 2026, 10:08 p.m.
Created at: April 29, 2026, 8:25 p.m.