Triple
T4361107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yitzhak Rabin |
E98661
|
entity |
| Predicate | placeOfBurial |
P196
|
FINISHED |
| Object | Mount Herzl |
E15588
|
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: Mount Herzl | Statement: [Yitzhak Rabin, placeOfBurial, Mount Herzl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Herzl Context triple: [Yitzhak Rabin, placeOfBurial, Mount Herzl]
-
A.
Mount Herzl
chosen
Mount Herzl is Israel’s national cemetery and a central memorial site in Jerusalem, serving as the burial place of prominent leaders and fallen soldiers.
-
B.
Ben-Gurion grave site
The Ben-Gurion grave site is the desert burial place and national memorial of Israel’s first prime minister, David Ben-Gurion, overlooking the Zin Valley in the Negev.
-
C.
Shaar HaTziyun
Shaar HaTziyun is a detailed commentary and source-reference work by Rabbi Yisrael Meir Kagan that accompanies the Mishnah Berurah on the Shulchan Aruch, Orach Chaim.
-
D.
Sha'ar Tzion
Sha'ar Tzion is the Hebrew name for the historic Zion Gate in Jerusalem’s Old City walls, a key entrance near Mount Zion.
-
E.
Tel HaShomer
Tel HaShomer is a neighborhood in Ramat Gan, Israel, best known for its major military base and large government-run hospital complex.
- 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_69b3454c772081908e20173e379e8ebe |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351e47d388190b31500189577cd75 |
completed | March 12, 2026, 11:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbc357988190a2982a86847e2c42 |
completed | March 14, 2026, 10:05 p.m. |
Created at: March 12, 2026, 11:16 p.m.