Triple
T15102417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1300SMILES Stadium |
E360700
|
entity |
| Predicate | homeGroundFrom |
P117330
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [1300SMILES Stadium, homeGroundFrom, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeGroundFrom Context triple: [1300SMILES Stadium, homeGroundFrom, 1995]
-
A.
homeGroundContext
Indicates the relationship between a sports team and the venue or location that serves as its primary home ground within a given contextual setting.
-
B.
homeGroundFeature
Indicates that a particular feature or characteristic is associated with or defines the home ground of an entity.
-
C.
homeGroundType
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
D.
laterHomeGround
Indicates that one entity became the home ground of the other at a later time, after some previous home ground or earlier period.
-
E.
homeGroundRole
Indicates that an entity serves in the role of home ground or primary venue for another entity (such as a team or organization).
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00551521c8190b48d1a074bb4bdfc |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
| PDg | Predicate description generation | batch_69dec71e8dcc81908badc834b6ccf273 |
completed | April 14, 2026, 11 p.m. |
Created at: April 10, 2026, 3:05 a.m.