Triple
T17772270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conroe Independent School District |
E443667
|
entity |
| Predicate | mascotExample |
P128870
|
FINISHED |
| Object | varies by campus |
—
|
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: varies by campus | Statement: [Conroe Independent School District, mascotExample, varies by campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mascotExample Context triple: [Conroe Independent School District, mascotExample, varies by campus]
-
A.
mascotDesigner
Indicates that one entity is responsible for designing or creating the mascot associated with another entity.
-
B.
mascotName
Indicates the name assigned to a mascot that represents an entity.
-
C.
coMascot
Indicates that two entities serve together as mascots for the same organization, event, or group.
-
D.
mascotTheme
Indicates that an entity serves as the representative mascot associated with a particular theme, concept, or style.
-
E.
mascotCharacteristic
Indicates that a mascot possesses or is associated with a particular characteristic or trait.
- F. None of above. chosen
Provenance (4 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e486005770819085d637279b2334eb |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:11 a.m.