Triple
T5944764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London Philharmonic Orchestra |
E132252
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LPO
LPO is the commonly used abbreviation for the London Philharmonic Orchestra, one of the leading symphony orchestras based in London, England.
|
E557547
|
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: LPO | Statement: [London Philharmonic Orchestra, shortName, LPO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LPO Context triple: [London Philharmonic Orchestra, shortName, LPO]
-
A.
LOP
LOP is the IATA airport code for Lombok International Airport, the main air gateway to the Indonesian island of Lombok.
-
B.
LOP-G
LOP-G is the Lunar Orbital Platform-Gateway, a planned crew-tended space station in lunar orbit that will serve as a staging point for deep space exploration missions.
-
C.
LOPSTR
LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
-
D.
LFPO
LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
-
E.
l_P
l_P is the standard symbol denoting the Planck length, the fundamental quantum scale of length in theoretical physics.
- 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: LPO Triple: [London Philharmonic Orchestra, shortName, LPO]
Generated description
LPO is the commonly used abbreviation for the London Philharmonic Orchestra, one of the leading symphony orchestras based in London, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LPO Target entity description: LPO is the commonly used abbreviation for the London Philharmonic Orchestra, one of the leading symphony orchestras based in London, England.
-
A.
LOP
LOP is the IATA airport code for Lombok International Airport, the main air gateway to the Indonesian island of Lombok.
-
B.
LOP-G
LOP-G is the Lunar Orbital Platform-Gateway, a planned crew-tended space station in lunar orbit that will serve as a staging point for deep space exploration missions.
-
C.
LOPSTR
LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
-
D.
LFPO
LFPO is the ICAO airport code for Paris Orly Airport, a major international airport serving the Paris metropolitan area in France.
-
E.
l_P
l_P is the standard symbol denoting the Planck length, the fundamental quantum scale of length in theoretical physics.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393a10448190b0960f4487e87448 |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c084fce481909c306d6eeb99066d |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c19665b08190ab3c66b7c6c33f61 |
completed | March 23, 2026, 4:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c4576824819080ced71df8fdda6c |
completed | March 23, 2026, 4:40 a.m. |
Created at: March 22, 2026, 4:01 p.m.