Triple
T5612040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawg Pound |
E147379
|
entity |
| Predicate | supportsSide |
P17585
|
FINISHED |
| Object | home team |
—
|
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: home team | Statement: [Dawg Pound, supportsSide, home team]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsSide Context triple: [Dawg Pound, supportsSide, home team]
-
A.
supportedSide
chosen
Indicates that one entity backed, favored, or provided assistance to a particular side or party in a conflict, dispute, or competition.
-
B.
supportedIn
Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
-
C.
supportedAs
Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another entity.
-
D.
supportAgainst
Indicates providing help, resources, or advocacy to oppose or resist a particular target, threat, or adversary.
-
E.
supportsUse
Indicates that one entity enables, allows, or is compatible with the use or operation of another entity.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0212143708190b5234407334ab216 |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.