Triple

T9158840
Position Surface form Disambiguated ID Type / Status
Subject Cumberland culture E219770 entity
Predicate hasProjectilePointCharacteristic P86843 FINISHED
Object deep basal concavity 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: deep basal concavity | Statement: [Cumberland culture, hasProjectilePointCharacteristic, deep basal concavity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasProjectilePointCharacteristic
Context triple: [Cumberland culture, hasProjectilePointCharacteristic, deep basal concavity]
  • A. involvesProjectile
    Indicates that the action or event includes the use, presence, or motion of a projectile as a key component of the interaction between entities.
  • B. hasPlannedAttackPoint
    Indicates that an entity has designated or selected a specific location as the intended site for carrying out an attack.
  • C. hasPlanningCharacteristic
    Indicates that an entity possesses a specific feature, quality, or attribute related to planning activities or processes.
  • D. hasProtagonistAbility
    Indicates that a protagonist possesses a specific ability, power, or special skill.
  • E. hasKPoint
    Indicates that an entity possesses or is associated with a specific K-point, typically a designated point in reciprocal or parameter space.
  • 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_69ca83e25418819093c6503deeaf30de completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca9d805588190a0deadda1dd410a1 completed April 1, 2026, 5:15 a.m.
PD Predicate disambiguation batch_69cc6605c6808190a30d92da006206ac completed April 1, 2026, 12:25 a.m.
PDg Predicate description generation batch_69cc668ad3d881908a8a93a6a1d553e4 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 7:21 p.m.