Triple
T545725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurojet EJ200 |
E12727
|
entity |
| Predicate | dryWeight |
P13775
|
FINISHED |
| Object | approximately 1000 kilograms |
—
|
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: approximately 1000 kilograms | Statement: [Eurojet EJ200, dryWeight, approximately 1000 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dryWeight Context triple: [Eurojet EJ200, dryWeight, approximately 1000 kilograms]
-
A.
dryMass
chosen
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
-
B.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
C.
averageWeight
Indicates the typical or mean weight value associated with an entity or group of entities.
-
D.
weightClass
Indicates the categorical grouping of an entity based on its weight range or mass classification.
-
E.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498dfec5c81908b76d723b30dc2f0 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.