Triple
T2102006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Code of Ur-Nammu |
E37110
|
entity |
| Predicate | numberOfLawsPreserved |
P12093
|
FINISHED |
| Object | about 40 |
—
|
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: about 40 | Statement: [Code of Ur-Nammu, numberOfLawsPreserved, about 40]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLawsPreserved Context triple: [Code of Ur-Nammu, numberOfLawsPreserved, about 40]
-
A.
numberOfLaws
chosen
Indicates the quantitative count of laws associated with a given entity or context.
-
B.
typeOfPreservationLaw
Indicates the specific category or kind of preservation law that governs how something is protected or conserved.
-
C.
enforcedLaw
Indicates that an authority actively applies or upholds a specific law to regulate behavior or resolve situations.
-
D.
publicLawNumber
Indicates the specific public law identifier associated with a legislative act or statute.
-
E.
numberOfEdicts
Indicates the total count of edicts associated with or issued by a given 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abbabc83a8819091f786f21d33b5a6 |
completed | March 7, 2026, 5:42 a.m. |
| PD | Predicate disambiguation | batch_69abb7b7b6288190afa11b4d93bd5666 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.