Triple

T1306488
Position Surface form Disambiguated ID Type / Status
Subject Laws of the Game (association football) E27890 entity
Predicate alsoKnownAs P39 FINISHED
Object LOTG
LOTG is the standard abbreviation for the Laws of the Game, the official rulebook that governs how association football (soccer) is played worldwide.
 E149240 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: LOTG | Statement: [Laws of the Game (association football), alsoKnownAs, LOTG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LOTG
Context triple: [Laws of the Game (association football), alsoKnownAs, LOTG]
  • A. G.O.L.H.
    G.O.L.H. is the abbreviation for the Grand Officier rank, one of the highest grades within France’s prestigious national order, the Légion d'honneur.
  • B. Lagting
    Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
  • C. GLT
    GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
  • D. Loopt
    Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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: LOTG
Triple: [Laws of the Game (association football), alsoKnownAs, LOTG]
Generated description
LOTG is the standard abbreviation for the Laws of the Game, the official rulebook that governs how association football (soccer) is played worldwide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LOTG
Target entity description: LOTG is the standard abbreviation for the Laws of the Game, the official rulebook that governs how association football (soccer) is played worldwide.
  • A. G.O.L.H.
    G.O.L.H. is the abbreviation for the Grand Officier rank, one of the highest grades within France’s prestigious national order, the Légion d'honneur.
  • B. Lagting
    Lagting was one of the two former chambers of the Norwegian Parliament, historically functioning as its upper house before the legislature became unicameral.
  • C. GLT
    GLT is the National Rail station code for Glenrothes with Thornton railway station in Fife, Scotland.
  • D. Loopt
    Loopt was an early location-based social networking mobile app startup that allowed users to share their real-time location with friends.
  • E. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c1368038819089d1091cc43901a3 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb306e3cc8190997cda8aaedbcebb completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb3cbdf6881908d52fa203d025b36 completed March 7, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69acb43a4384819082daa9fe42e84aa2 completed March 7, 2026, 11:26 p.m.
Created at: March 1, 2026, 7:51 p.m.