Triple
T717920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colchester United F.C. |
E14349
|
entity |
| Predicate | traditionalHomeKitPattern |
P18484
|
FINISHED |
| Object | blue and white stripes |
—
|
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: blue and white stripes | Statement: [Colchester United F.C., traditionalHomeKitPattern, blue and white stripes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalHomeKitPattern Context triple: [Colchester United F.C., traditionalHomeKitPattern, blue and white stripes]
-
A.
traditionalHomeVenueCity
Indicates the city that has historically served as the primary home venue location for an entity, such as a team or performer.
-
B.
homeKitType
Indicates the specific HomeKit category or type assigned to a device or accessory within the HomeKit ecosystem.
-
C.
traditionalHousingRegion
Indicates the region where a group’s customary or historically established housing patterns are typically found.
-
D.
houseFounded
Indicates that an entity (such as a house, organization, or lineage) was established or created by another entity or at a specific time.
-
E.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a577658881909c12951d63d96377 |
completed | March 1, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f38898819089d79bad4f4ff2d2 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a57267c481909790a1fda3fced08 |
completed | March 1, 2026, 8:45 p.m. |
Created at: March 1, 2026, 7:37 p.m.