Triple
T12138747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NCAA Division III men’s basketball tournament |
E289127
|
entity |
| Predicate | eliminationCondition |
P92587
|
FINISHED |
| Object | single loss |
—
|
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: single loss | Statement: [NCAA Division III men’s basketball tournament, eliminationCondition, single loss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eliminationCondition Context triple: [NCAA Division III men’s basketball tournament, eliminationCondition, single loss]
-
A.
removalCondition
Indicates the condition or circumstances under which an entity is removed, deleted, or no longer considered applicable.
-
B.
dropCondition
Indicates that an entity ceases to satisfy, or is no longer subject to, a specified condition or requirement.
-
C.
reasonForElimination
Indicates the specific cause or justification for why an entity was removed, disqualified, or excluded from consideration.
-
D.
equalityCondition
Indicates that two values, expressions, or attributes must be exactly the same for the condition to be satisfied.
-
E.
eliminationFormatUsed
chosen
Indicates that a particular elimination-style competition format (e.g., single or double elimination) is applied in organizing or conducting an event or contest.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:49 p.m.