Triple
T27239738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat G.91 |
E687169
|
entity |
| Predicate | NATOCompetition |
P72828
|
FINISHED |
| Object |
NATO NBMR-1
NATO NBMR-1 was a Cold War-era NATO specification and competition for a lightweight tactical strike and reconnaissance aircraft, which led to the selection of the Fiat G.91 as the winning design.
|
E1765302
|
NE FINISHED |
How this triple was built (3 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: NATO NBMR-1 | Statement: [Fiat G.91, NATOCompetition, NATO NBMR-1]
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: NATO NBMR-1 Triple: [Fiat G.91, NATOCompetition, NATO NBMR-1]
Generated description
NATO NBMR-1 was a Cold War-era NATO specification and competition for a lightweight tactical strike and reconnaissance aircraft, which led to the selection of the Fiat G.91 as the winning design.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: NATOCompetition Context triple: [Fiat G.91, NATOCompetition, NATO NBMR-1]
-
A.
NATOcode
Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
-
B.
NATOCategory
chosen
Indicates that an entity is classified according to a specific NATO-defined category or designation.
-
C.
associatedWithNATO
Indicates a relationship in which an entity has a formal or recognized connection, affiliation, or involvement with NATO.
-
D.
warPower
Indicates the authority, capability, or legal power to initiate, conduct, or manage acts of war or armed conflict.
-
E.
hasNATOContext
Indicates that something is related to, influenced by, or situated within the context of NATO, its activities, policies, or structures.
- F. None of above.
Provenance (6 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_69ef355547408190b5ca0d777c65040a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6267c112c8190986426190320e1ac |
completed | May 2, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1262773dac8190bb4113ab4e9b3f82 |
completed | May 24, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_6a127060700481909293fb3b925cb760 |
completed | May 24, 2026, 3:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a1270ddaf54819094cd9645435c8b6b |
completed | May 24, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 10:36 a.m.