Triple
T204496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clause 40 |
E4580
|
entity |
| Predicate | hasLatinNumbering |
P7356
|
FINISHED |
| Object | XL |
—
|
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: XL | Statement: [Clause 40, hasLatinNumbering, XL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLatinNumbering Context triple: [Clause 40, hasLatinNumbering, XL]
-
A.
usesRomanNumerals
chosen
Indicates that something represents numbers or sequences using the Roman numeral system rather than standard Arabic digits.
-
B.
hasNumberSystem
Indicates that an entity possesses or uses a particular system for representing and organizing numbers.
-
C.
hasLatinName
Indicates that an entity is associated with a specific Latin (scientific) name.
-
D.
numberingType
Indicates the scheme or style used to assign sequential numbers or labels within an ordered set.
-
E.
hasRomanizationOf
Indicates that one entity is a romanized representation (written in the Latin alphabet) of the other entity’s original script form.
- 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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25f46b4f081909e5ee3718109a71f |
completed | Feb. 28, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69a25b4b42ec8190bef16bbbdd30a742 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:51 a.m.