Triple
T8832166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penning trap |
E210170
|
entity |
| Predicate | relatedConcept |
P37
|
FINISHED |
| Object | Paul trap |
E608818
|
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: Paul trap | Statement: [Penning trap, relatedConcept, Paul trap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul trap Context triple: [Penning trap, relatedConcept, Paul trap]
-
A.
Paul trap
chosen
The Paul trap is a type of ion trap that uses oscillating electric fields to confine charged particles, widely used in precision spectroscopy, mass spectrometry, and quantum computing experiments.
-
B.
Paul Carnal
Paul Carnal was the Swiss educator who established Institut Le Rosey, one of the world’s most prestigious and exclusive boarding schools.
-
C.
Paulus Potter
Paulus Potter was a renowned 17th-century Dutch Golden Age painter celebrated for his detailed and lifelike depictions of animals and rural landscapes.
-
D.
Philip Sabes
Philip Sabes is a neuroscientist and entrepreneur known for his work on brain–computer interfaces and for co-founding the neurotechnology company Neuralink.
-
E.
Daniel Auster
Daniel Auster was a prominent Zionist politician and lawyer who served as mayor of Jerusalem during the British Mandate period.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc605005788190a4df1fe317f3056a |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf896cf5a8819098a76288bd505c1e |
completed | April 3, 2026, 9:33 a.m. |
Created at: March 30, 2026, 6:47 p.m.