Triple
T34253627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French 16th Division |
E878811
|
entity |
| Predicate | commandLanguageForUSUnits |
P193324
|
FINISHED |
| Object | French |
—
|
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: French | Statement: [French 16th Division, commandLanguageForUSUnits, French]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandLanguageForUSUnits Context triple: [French 16th Division, commandLanguageForUSUnits, French]
-
A.
USUnit
Indicates that the associated quantity or measurement is expressed using United States customary units (e.g., feet, pounds, gallons) rather than other unit systems.
-
B.
unitSystem
Indicates the system of measurement units (such as metric or imperial) that is used to quantify associated values or attributes.
-
C.
hasExactImperialEquivalent
Indicates that one measurement or quantity has a directly corresponding and precisely equal value in the imperial system.
-
D.
isOfficialSystemOfUnitsFor
Indicates that one system of units is formally recognized or designated as the standard measurement system for a particular domain, region, or context.
-
E.
unitUK
Indicates that one entity uses or is measured in a unit of measure that is specific to or standard within the United Kingdom.
- 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
| PDg | Predicate description generation | batch_69fd4128ed908190837ec9936774a1cf |
completed | May 8, 2026, 1:49 a.m. |
Created at: May 1, 2026, 1:56 a.m.