Triple

T22061966
Position Surface form Disambiguated ID Type / Status
Subject Behave E545174 entity
Predicate relatedTo P37 FINISHED
Object NAT66
NAT66 is a network address translation mechanism designed for IPv6, enabling address mapping and connectivity between different IPv6 addressing domains.
 E1516262 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: NAT66 | Statement: [Behave, relatedTo, NAT66]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NAT66
Context triple: [Behave, relatedTo, NAT66]
  • A. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • B. NAT
    NAT is the IATA airport code for Natal Air Base, a military airfield serving the Natal region in Brazil.
  • C. NAT
    NAT is the common abbreviation for "Nationen," a Norwegian student newspaper based in Trondheim.
  • D. N6
    N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
  • E. N76
    The N76 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and emphasized multimedia features in a slim, stylish design.
  • 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: NAT66
Triple: [Behave, relatedTo, NAT66]
Generated description
NAT66 is a network address translation mechanism designed for IPv6, enabling address mapping and connectivity between different IPv6 addressing domains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NAT66
Target entity description: NAT66 is a network address translation mechanism designed for IPv6, enabling address mapping and connectivity between different IPv6 addressing domains.
  • A. NAT
    NAT is the station code used to identify Nationaltheatret railway station in Oslo, Norway.
  • B. NAT
    NAT is the IATA airport code for Natal Air Base, a military airfield serving the Natal region in Brazil.
  • C. NAT
    NAT is the common abbreviation for "Nationen," a Norwegian student newspaper based in Trondheim.
  • D. N6
    N6 is a national route in South Africa that connects inland regions to the coastal city of East London, serving as a key north–south transport corridor.
  • E. N76
    The N76 is a Nokia clamshell smartphone from the mid-2000s that ran the Symbian S60 platform and emphasized multimedia features in a slim, stylish design.
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285d5e508190b3124a70fe55b32e completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80ab1d248190b1dc9d10e7a3d4da completed May 18, 2026, 2:59 a.m.
NEDg Description generation batch_6a0a81565a748190941d433f88f0bcdc completed May 18, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_6a0a821dfb0881908586c38e7f9cd8fa completed May 18, 2026, 3:06 a.m.
Created at: April 16, 2026, 8:27 p.m.