Triple
T917625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isaac Luria |
E19804
|
entity |
| Predicate | developedConcept |
P73
|
FINISHED |
| Object | Tikkun |
E105883
|
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: Tikkun | Statement: [Isaac Luria, developedConcept, Tikkun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tikkun Context triple: [Isaac Luria, developedConcept, Tikkun]
-
A.
Tikun
chosen
Tikun is a central Kabbalistic concept referring to the spiritual rectification and restoration of cosmic and personal harmony.
-
B.
Tikkana
Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
-
C.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
D.
Tullistes
Tullistes are the inhabitants of the French city of Tulle, located in the Corrèze department in central France.
-
E.
Mytikas
Mytikas is the highest summit of Mount Olympus in Greece, renowned as the country's tallest peak and a prominent destination for hikers and climbers.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f8e26c81908b768d3e9e67689d |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf62b05c8190b348ccf1e527d38a |
completed | March 4, 2026, 6:21 a.m. |
Created at: March 1, 2026, 7:40 p.m.