Triple
T2210090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles de Gaulle |
E50893
|
entity |
| Predicate | arrestingGear |
P4678
|
FINISHED |
| Object | arrestor wires |
—
|
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: arrestor wires | Statement: [Charles de Gaulle, arrestingGear, arrestor wires]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrestingGear Context triple: [Charles de Gaulle, arrestingGear, arrestor wires]
-
A.
armorBelt
Indicates that an entity is equipped with or wearing an armor belt as part of its protective gear.
-
B.
safetyEquipment
Indicates that one entity serves as safety equipment used to protect another entity from harm or danger.
-
C.
armsControl
Indicates a relationship where parties engage in limiting, regulating, or reducing weapons and military capabilities, often through agreements or treaties.
-
D.
landingGear
chosen
Indicates that an entity’s landing gear is present, deployed, or otherwise involved in a landing-related state or action relative to another entity or context.
-
E.
protectiveEquipment
Indicates that one entity serves as protective equipment used to safeguard another entity from harm or risk.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc1baa0948190b07ffc347a4f714e |
completed | March 7, 2026, 6:12 a.m. |
| PD | Predicate disambiguation | batch_69abbda8a6dc8190aa855ce2d17194b1 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.