Triple
T6720287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lega Serie A |
E153375
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
LNPA
LNPA is the commonly used abbreviation for Italy’s top professional football league, Lega Serie A.
|
E614024
|
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: LNPA | Statement: [Lega Serie A, abbreviation, LNPA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LNPA Context triple: [Lega Serie A, abbreviation, LNPA]
-
A.
LN
LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
-
B.
LN1
LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
-
C.
NPA
NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
-
D.
LNFP
LNFP is the commonly used abbreviation for Spain’s top professional football league organizer, the Liga Nacional de Fútbol Profesional (La Liga).
-
E.
LAP
LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
- 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: LNPA Triple: [Lega Serie A, abbreviation, LNPA]
Generated description
LNPA is the commonly used abbreviation for Italy’s top professional football league, Lega Serie A.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LNPA Target entity description: LNPA is the commonly used abbreviation for Italy’s top professional football league, Lega Serie A.
-
A.
LN
LN is the postcode area designation for Lincoln and its surrounding region in the United Kingdom.
-
B.
LN1
LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
-
C.
NPA
NPA is the central national law enforcement body of Japan responsible for overseeing police operations and public security across the country.
-
D.
LNFP
LNFP is the commonly used abbreviation for Spain’s top professional football league organizer, the Liga Nacional de Fútbol Profesional (La Liga).
-
E.
LAP
LAP is the ICAO airline designator used to identify LATAM Airlines Paraguay in international aviation operations.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7009f1e208190891c4542a6c613ac |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c7048843e081908b70942a91a390fe |
completed | March 27, 2026, 10:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c705240f54819094e8715ffd66b352 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 2:07 p.m.