Triple
T15230886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nahalal Military Cemetery |
E363995
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Ilan Ramon |
E74057
|
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: Ilan Ramon | Statement: [Nahalal Military Cemetery, burialPlaceOf, Ilan Ramon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilan Ramon Context triple: [Nahalal Military Cemetery, burialPlaceOf, Ilan Ramon]
-
A.
Ilan Ramon
chosen
Ilan Ramon was the first Israeli astronaut, a payload specialist on the ill-fated Space Shuttle Columbia mission STS-107.
-
B.
Yangel
Yangel is a Ukrainian surname most notably associated with Mikhail Yangel, a prominent Soviet rocket engineer and designer.
-
C.
Wubbo J. Ockels
Wubbo J. Ockels was a Dutch physicist, astronaut, and professor who became the first citizen of the Netherlands to travel into space.
-
D.
Gagarina
Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
-
E.
Yury Kulik
Yury Kulik is a notable individual who shares the surname Kulik, though specific widely recognized biographical or professional details about him are not well documented in major public sources.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078e27408190bc13c0ca441f5594 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fee5edca5c8190827788324a9e886d |
completed | May 9, 2026, 7:44 a.m. |
Created at: April 10, 2026, 3:12 a.m.