Triple
T30204151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LFA |
E767863
|
entity |
| Predicate | governs |
P760
|
FINISHED |
| Object |
Liberia youth national football teams
The Liberia youth national football teams are the country’s age-group soccer squads that represent Liberia in international youth competitions and serve as a development pathway to the senior national team.
|
E1904603
|
NE FINISHED |
How this triple was built (2 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: Liberia youth national football teams | Statement: [LFA, governs, Liberia youth national football teams]
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: Liberia youth national football teams Triple: [LFA, governs, Liberia youth national football teams]
Generated description
The Liberia youth national football teams are the country’s age-group soccer squads that represent Liberia in international youth competitions and serve as a development pathway to the senior national team.
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_69f2247eb0848190b4032f302d39c0d9 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67fc7921081909b4c17550cb08845 |
completed | May 2, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2758a2e2e4819099eb528a15d2bfa2 |
completed | June 9, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_6a275a7f3e7c8190bd79a2bad2e66ca1 |
completed | June 9, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a275e9f9f148190ab1d1fd5ebc2d6bd |
completed | June 9, 2026, 12:30 a.m. |
Created at: April 29, 2026, 7:31 p.m.