Triple

T11889348
Position Surface form Disambiguated ID Type / Status
Subject Proto-Algic language E282873 entity
Predicate hasApproximateTimeDepth P40474 FINISHED
Object several millennia before present 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: several millennia before present | Statement: [Proto-Algic language, hasApproximateTimeDepth, several millennia before present]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasApproximateTimeDepth
Context triple: [Proto-Algic language, hasApproximateTimeDepth, several millennia before present]
  • A. hasTimeDepth chosen
    Indicates that something possesses or spans a measurable extent of time, such as duration, historical depth, or temporal layering.
  • B. hasApproximateDepth
    Indicates that an entity is associated with a depth value that is not exact but estimated or approximate.
  • C. hasApproximateDuration
    Indicates that one entity has a duration that is estimated or not exact, typically expressed as an approximate length of time.
  • D. approximateAscentTime
    Indicates the estimated amount of time required for an entity to ascend or climb to a specified point or elevation.
  • E. hasApproximateEnd
    Indicates that an entity’s end point, time, or boundary is known only approximately rather than precisely.
  • F. None of above.

Provenance (3 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
PD Predicate disambiguation batch_69d8bb2fca4481909893f3428b0871ac completed April 10, 2026, 8:56 a.m.
Created at: April 8, 2026, 9:44 p.m.