Triple
T15017123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jebusites |
E377983
|
entity |
| Predicate | associatedWithPlaceName |
P75046
|
FINISHED |
| Object | Jebus |
E44866
|
NE 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: Jebus | Statement: [Jebusites, associatedWithPlaceName, Jebus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jebus Context triple: [Jebusites, associatedWithPlaceName, Jebus]
-
A.
Jebus
chosen
Jebus is the ancient Canaanite name for the city later known as Jerusalem.
-
B.
Yesa
Yesa is a small municipality in northern Spain, known for its proximity to the Yesa Reservoir and location along the Aragón River in the Navarre region.
-
C.
Yesa
Yesa is an alternative name for the Tutelo, a Siouan-speaking Indigenous people historically located in the eastern United States.
-
D.
Jessurun
Jessurun is the given first name of Jess Oppenheimer, the American television producer and head writer best known for his work on the classic sitcom "I Love Lucy."
-
E.
Jeru the Damaja
Jeru the Damaja is a Brooklyn-born American rapper known for his socially conscious lyrics, complex wordplay, and influential work in 1990s East Coast hip hop.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7633fcc8190b2231f43252bc46f |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe96ae110c8190a0555590b9ddb36a |
completed | May 9, 2026, 2:06 a.m. |
Created at: April 10, 2026, 2:55 a.m.