Triple
T31859051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruk |
E813271
|
entity |
| Predicate | hasNameInBiblicalTradition |
P184841
|
FINISHED |
| Object | Erech |
—
|
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: Erech | Statement: [Uruk, hasNameInBiblicalTradition, Erech]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInBiblicalTradition Context triple: [Uruk, hasNameInBiblicalTradition, Erech]
-
A.
hasBiblicalEthnonym
Indicates that an entity is associated with or identified by an ethnonym (a people or ethnic group name) that originates from or is used within the Bible.
-
B.
hasNameInScripture
chosen
Indicates that an entity is explicitly given a proper name within a scriptural or sacred text.
-
C.
hasNameInReligionOrFolklore
Indicates that an entity is known by a particular name specifically within a religious or folkloric tradition.
-
D.
biblicalName
Indicates that one entity is the name of a person, place, or concept as it appears in the Bible.
-
E.
hasBiblicalConnection
Indicates a relationship in which one entity is connected to another through references, themes, origins, or influences derived from the Bible.
- 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_69f348ebf32881908d9439646933dc76 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fe629b4fa481908467c7c41b77f0c6 |
completed | May 8, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69fe61bb260c819083f9378a3a06ca47 |
completed | May 8, 2026, 10:20 p.m. |
Created at: April 30, 2026, 11:52 p.m.