Triple

T3772600
Position Surface form Disambiguated ID Type / Status
Subject Arabian camel E83231 entity
Predicate numberOfHumps P50837 FINISHED
Object 1 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: 1 | Statement: [Arabian camel, numberOfHumps, 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfHumps
Context triple: [Arabian camel, numberOfHumps, 1]
  • A. numberOfPeaks
    Indicates the count of distinct peak points or maximum values present within a given entity or dataset.
  • B. numberOfHoles
    Indicates the count of holes associated with or present in a given entity.
  • C. hornCount
    Indicates the number of horns possessed by an entity.
  • D. hasNumberOfArches
    Indicates the relationship specifying how many arches are present in or associated with a given entity.
  • E. numberOfCounts
    Indicates the total quantity or tally of discrete occurrences, items, or instances associated with an entity or event.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc3219b881908a2f82126f9a679d completed March 8, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69adc050cc5c81909d9855f866f3c26d completed March 8, 2026, 6:30 p.m.
PDg Predicate description generation batch_69adc0fe3e3c8190bd886c7745c172a0 completed March 8, 2026, 6:33 p.m.
Created at: March 8, 2026, 3:36 p.m.