Triple
T1359519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIRST LEGO League |
E29065
|
entity |
| Predicate | teamsSizeRange |
P8561
|
FINISHED |
| Object | 2–10 students |
—
|
LITERAL 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: 2–10 students | Statement: [FIRST LEGO League, teamsSizeRange, 2–10 students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamsSizeRange Context triple: [FIRST LEGO League, teamsSizeRange, 2–10 students]
-
A.
typicalTeamSize
Indicates the usual or most common number of members that make up a given team.
-
B.
typicalGroupSizeRange
chosen
Indicates the usual minimum and maximum number of individuals that typically occur together in a group for the given entity.
-
C.
staffSize
Indicates the number of staff members associated with an entity.
-
D.
collaborationSize
Indicates the number of participants involved together in a given collaborative relationship or activity.
-
E.
numberOfTeamsVariesBetween
Indicates that the count of teams involved changes within a specified range or across different instances or conditions.
- F. None of above.
Provenance (3 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c290db288190910fcfa17e902663 |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.