Triple
T34259117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanford Pentagon |
E878975
|
entity |
| Predicate | hasPracticeCourts |
P110416
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Sanford Pentagon, hasPracticeCourts, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPracticeCourts Context triple: [Sanford Pentagon, hasPracticeCourts, yes]
-
A.
hasCourtPractice
Indicates that an entity engages in or is associated with a particular court-related legal practice or activity.
-
B.
hasCourts
Indicates that an entity possesses, contains, or is equipped with one or more courts (e.g., legal, sports, or judicial facilities).
-
C.
hasMainCourts
Indicates that an entity possesses or is associated with one or more primary courts used for official or main activities.
-
D.
hasIndoorCourts
chosen
Indicates that one entity provides or contains courts or playing areas that are located indoors.
-
E.
numberOfCourts
Indicates the quantity of courts associated with or present at a given entity or location.
- F. None of above.
Provenance (3 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_69f349b421cc8190b4b4655e1d612548 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a02fcbe03d0819082d3dd715ed41623 |
completed | May 12, 2026, 10:11 a.m. |
| PD | Predicate disambiguation | batch_6a02fc62138081908d2dbc5db7541d13 |
completed | May 12, 2026, 10:09 a.m. |
Created at: May 1, 2026, 1:56 a.m.