Triple
T32099462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lugal-e (Ninurta’s Exploits) |
E819802
|
entity |
| Predicate | modernCatalogDesignation |
P182517
|
FINISHED |
| Object | Lugal-e ud me-lám-bi nir-ğál |
—
|
NE NERFINISHED |
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: Lugal-e ud me-lám-bi nir-ğál | Statement: [Lugal-e (Ninurta’s Exploits), modernCatalogDesignation, Lugal-e ud me-lám-bi nir-ğál]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernCatalogDesignation Context triple: [Lugal-e (Ninurta’s Exploits), modernCatalogDesignation, Lugal-e ud me-lám-bi nir-ğál]
-
A.
catalogueDesignationFor
chosen
Indicates that one entity serves as the catalogue designation or identifier assigned to another entity within a cataloging system.
-
B.
americanDesignation
Indicates that one entity is the official American name, title, or designation for another entity.
-
C.
collectionDesignation
Indicates that one entity assigns or specifies a particular collection label or designation for another entity.
-
D.
typicalDesignation
Indicates that one entity is the usual or commonly used designation (name, label, or title) for another entity.
-
E.
previousDesignationIncludes
Indicates that an entity’s earlier or former official name, title, or designation contained the specified value.
- 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_69f34901106881908ea893ad504a08be |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fccdd496048190bca801a8a9eecb62 |
completed | May 7, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 1, 2026, 12:26 a.m.