Triple
T34376947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seir (in some identifications) |
E882310
|
entity |
| Predicate | sometimesLinkedWith |
P107489
|
FINISHED |
| Object | Sinai traditions |
—
|
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: Sinai traditions | Statement: [Seir (in some identifications), sometimesLinkedWith, Sinai traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sometimesLinkedWith Context triple: [Seir (in some identifications), sometimesLinkedWith, Sinai traditions]
-
A.
commonlyLinkedTo
Indicates that one entity is frequently or typically associated, connected, or co-occurring with another entity.
-
B.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
C.
textLinkedTo
Indicates that one piece of text is connected or associated with another, such as through a hyperlink, reference, or explicit textual relation.
-
D.
canBeLinkedTo
chosen
Indicates that one entity has the potential or capability to be connected or associated with another entity.
-
E.
associatedThrough
Indicates that two entities are connected or related to each other by means of a specified intermediary, context, or linkage.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.