Triple
T2980878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aleph |
E80506
|
entity |
| Predicate | nameInHebrew |
P6449
|
FINISHED |
| Object | אֶלֶף |
E80506
|
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: אֶלֶף | Statement: [Aleph, nameInHebrew, אֶלֶף]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: אֶלֶף Context triple: [Aleph, nameInHebrew, אֶלֶף]
-
A.
Aleph
Aleph is a spiritual and autobiographical novel by Brazilian author Paulo Coelho that explores themes of faith, destiny, and personal transformation through a journey across Russia.
-
B.
Aleph
chosen
Aleph is the first letter of the Hebrew alphabet, traditionally associated with the numerical value one and often symbolizing unity or the divine in Jewish mysticism and tradition.
-
C.
ALEPH
ALEPH was a major particle physics detector experiment at CERN’s Large Electron–Positron Collider (LEP), designed to study high-energy electron–positron collisions and precisely test the Standard Model.
-
D.
Dalet
Dalet is the fourth letter of the Hebrew alphabet, corresponding to the "d" sound and often associated with the numerical value four in Hebrew numerology.
-
E.
Alif
Alif is one of the official mascots of Expo 2020 Dubai, represented as a futuristic robot embodying innovation and mobility.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999e91788190a2d430dd0600a660 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b108f27d648190a7a58670fec8b74d |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:58 p.m.