Triple
T1363310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magi |
E29144
|
entity |
| Predicate | questionAskedInJerusalem |
P21180
|
FINISHED |
| Object | "Where is he that is born King of the Jews?" |
—
|
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: "Where is he that is born King of the Jews?" | Statement: [Magi, questionAskedInJerusalem, "Where is he that is born King of the Jews?"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: questionAskedInJerusalem Context triple: [Magi, questionAskedInJerusalem, "Where is he that is born King of the Jews?"]
-
A.
raisesQuestion
Indicates that one entity causes or prompts a question or doubt to arise about another entity or topic.
-
B.
distanceFromJerusalem
Indicates the spatial distance between a given location and Jerusalem.
-
C.
hasViewOnZionism
Indicates that an entity holds a particular opinion, stance, or perspective regarding Zionism.
-
D.
centralQuestion
Indicates that something is the main issue, problem, or inquiry around which a discussion, work, or investigation is focused.
-
E.
inquiry
chosen
Indicates that one entity seeks information, clarification, or an answer from another through a question or request.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b5d05c81908b49e282648e073a |
completed | March 1, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69a4bef945c08190a027472fdd695ea5 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:57 p.m.