Triple
T20772330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leigh Leopards |
E511265
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LEI
LEI is the commonly used abbreviation for the Leigh Leopards, a professional rugby league club based in Leigh, Greater Manchester, England.
|
E1450139
|
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: LEI | Statement: [Leigh Leopards, hasAbbreviation, LEI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEI Context triple: [Leigh Leopards, hasAbbreviation, LEI]
-
A.
LEI
LEI is the three-letter IATA airport code for Almería Airport in Spain.
-
B.
LEI
LEI is the commonly used abbreviation for Leiden University, one of the oldest and most prestigious universities in the Netherlands.
-
C.
LEI
LEI is a globally standardized 20-character alphanumeric code used to uniquely identify legal entities participating in financial transactions.
-
D.
LIEA
LIEA is the ICAO airport code for Alghero-Fertilia Airport, a commercial airport serving the city of Alghero on the Italian island of Sardinia.
-
E.
GLEIF
GLEIF is the Global Legal Entity Identifier Foundation, an organization that oversees and promotes the worldwide implementation and use of Legal Entity Identifiers for entities participating in financial transactions.
- 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: LEI Triple: [Leigh Leopards, hasAbbreviation, LEI]
Generated description
LEI is the commonly used abbreviation for the Leigh Leopards, a professional rugby league club based in Leigh, Greater Manchester, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEI Target entity description: LEI is the commonly used abbreviation for the Leigh Leopards, a professional rugby league club based in Leigh, Greater Manchester, England.
-
A.
LEI
LEI is the commonly used abbreviation for Leiden University, one of the oldest and most prestigious universities in the Netherlands.
-
B.
LEI
LEI is the three-letter IATA airport code for Almería Airport in Spain.
-
C.
LEI
LEI is a globally standardized 20-character alphanumeric code used to uniquely identify legal entities participating in financial transactions.
-
D.
LIEA
LIEA is the ICAO airport code for Alghero-Fertilia Airport, a commercial airport serving the city of Alghero on the Italian island of Sardinia.
-
E.
GLEIF
GLEIF is the Global Legal Entity Identifier Foundation, an organization that oversees and promotes the worldwide implementation and use of Legal Entity Identifiers for entities participating in financial transactions.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2681ff88190bfe5938c2db6b2c4 |
completed | April 21, 2026, 12:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef91918c81908e99ab3a8ed9a1e5 |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f306e51481909691e3735ce10b60 |
completed | May 16, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f37adb908190a40a7bb1728f3dbf |
completed | May 16, 2026, 10:45 p.m. |
Created at: April 16, 2026, 12:37 p.m.