Triple
T13912989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landau–Pomeranchuk–Migdal effect |
E334544
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LPM effect
The LPM effect is a quantum phenomenon in high-energy physics where multiple scattering in a medium suppresses bremsstrahlung and pair production at very high energies.
|
E1069008
|
NE FINISHED |
How this triple was built (4 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: LPM effect | Statement: [Landau–Pomeranchuk–Migdal effect, hasAbbreviation, LPM effect]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LPM effect Context triple: [Landau–Pomeranchuk–Migdal effect, hasAbbreviation, LPM effect]
-
A.
LPB
LPB is the IATA airport code for El Alto International Airport serving La Paz, Bolivia.
-
B.
LPP
LPP is the IATA airport code for Lappeenranta Airport in Lappeenranta, Finland.
-
C.
LQM
LQM is the IATA airport code for the airport serving Puerto Leguízamo in Colombia.
-
D.
LTP
LTP is the National Rail station code for Littleport railway station in Cambridgeshire, England.
-
E.
LPE
LPE is the ICAO airline designator for LATAM Perú, a Peruvian subsidiary of the LATAM Airlines Group operating domestic and regional flights.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LPM effect Triple: [Landau–Pomeranchuk–Migdal effect, hasAbbreviation, LPM effect]
Generated description
The LPM effect is a quantum phenomenon in high-energy physics where multiple scattering in a medium suppresses bremsstrahlung and pair production at very high energies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LPM effect Target entity description: The LPM effect is a quantum phenomenon in high-energy physics where multiple scattering in a medium suppresses bremsstrahlung and pair production at very high energies.
-
A.
LPB
LPB is the IATA airport code for El Alto International Airport serving La Paz, Bolivia.
-
B.
LPP
LPP is the IATA airport code for Lappeenranta Airport in Lappeenranta, Finland.
-
C.
LQM
LQM is the IATA airport code for the airport serving Puerto Leguízamo in Colombia.
-
D.
LTP
LTP is the National Rail station code for Littleport railway station in Cambridgeshire, England.
-
E.
LPE
LPE is the ICAO airline designator for LATAM Perú, a Peruvian subsidiary of the LATAM Airlines Group operating domestic and regional flights.
- F. None of above. chosen
Provenance (5 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de27245c648190b2946845ce0fdbf8 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72a345481908f8552bca7bb1a5a |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7c8d477f881908f8cfd2783e7f10f |
completed | May 3, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ca27ffd4819080bccd6bfd88ddb3 |
completed | May 3, 2026, 10:20 p.m. |
Created at: April 9, 2026, 10:16 p.m.