Triple
T14202559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mafdal |
E351999
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | NRP |
E1033513
|
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: NRP | Statement: [Mafdal, shortName, NRP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NRP Context triple: [Mafdal, shortName, NRP]
-
A.
NRP
chosen
NRP refers to the National Religious Party, a former Israeli political party that represented religious Zionist interests.
-
B.
NRPs
NRPs are strategic policy documents prepared by EU member states outlining their plans and measures to implement the Union’s economic and structural reform objectives, particularly under the Europe 2020 and European Semester frameworks.
-
C.
RNR
RNR is the abbreviation for the Royal Naval Reserve, the volunteer reserve force of the United Kingdom’s Royal Navy.
-
D.
RN
RN is the commonly used abbreviation for "RN: The Memoirs of Richard Nixon," the former U.S. president’s autobiographical account of his life and political career.
-
E.
RN
RN is the vehicle registration code used on license plates for vehicles registered in the Province of Rimini in Italy.
- 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_69d827894ac0819097803e57f3227b23 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61f589a08190b71ad4e69d92ffd0 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1951421c81908959634e66857b61 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.