Triple
T38463942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Eternal |
E912517
|
entity |
| Predicate | hasHomeStands |
P197316
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Paris Eternal, hasHomeStands, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeStands Context triple: [Paris Eternal, hasHomeStands, true]
-
A.
hasStand
Indicates that an entity possesses, is equipped with, or is supported by a stand or base structure.
-
B.
hasHome
Indicates that an entity possesses or is associated with a place where it lives or is based.
-
C.
hasHomeDerbyFor
Indicates that one entity serves as the home venue or location where another entity’s derby event is held.
-
D.
hasHomeStadiumContext
Indicates that an entity’s home stadium is specified or characterized within a particular contextual framework (such as time, competition, or role).
-
E.
homeStandOf
Indicates that a particular venue or location serves as the primary home stadium or home ground for a sports 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe86cad5108190b0164b8bc6fc23ea |
completed | May 9, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69fe83c0c9888190b6fc40c7f727b569 |
completed | May 9, 2026, 12:45 a.m. |
| PDg | Predicate description generation | batch_69fe86c98d688190a99d5dcb14e2dc95 |
completed | May 9, 2026, 12:58 a.m. |
Created at: May 3, 2026, 4:31 p.m.