Triple
T7403654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stade Louis II |
E170811
|
entity |
| Predicate | hostedFrom |
P76578
|
FINISHED |
| Object | 1998 |
—
|
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: 1998 | Statement: [Stade Louis II, hostedFrom, 1998]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedFrom Context triple: [Stade Louis II, hostedFrom, 1998]
-
A.
hostedOn
Indicates that one entity operates, resides, or is made available on another entity that provides the underlying platform or infrastructure.
-
B.
hosted
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
C.
alsoHosted
Indicates that the subject entity, in addition to others, served as a host for the same event or activity.
-
D.
hostedTeamFrom
Indicates that one entity served as the host location or organization for a team originating from another entity.
-
E.
servedFrom
Indicates that something is provided, delivered, or made available from a particular source or location.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2701b108190be39174d4534f231 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f15c36d48190bc75353d3f67555a |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 3:10 p.m.