Triple
T13124891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Dallas Independent School District |
E311818
|
entity |
| Predicate | hasHighSchoolMascot |
P52
|
FINISHED |
| Object | Falcons |
—
|
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: Falcons | Statement: [Lake Dallas Independent School District, hasHighSchoolMascot, Falcons]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighSchoolMascot Context triple: [Lake Dallas Independent School District, hasHighSchoolMascot, Falcons]
-
A.
hasOfficialMascot
Indicates that an entity is formally represented or symbolized by a designated mascot.
-
B.
hasMascot
chosen
Indicates that an entity is represented or symbolized by a particular mascot.
-
C.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
-
D.
mascotName
Indicates the name assigned to a mascot that represents an entity.
-
E.
isMascot
Indicates that one entity serves as the mascot or symbolic representative for another entity, such as an organization, team, or event.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819946808190b41335fb1054accd |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:07 p.m.