Triple
T31830657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delmar, Maryland |
E812522
|
entity |
| Predicate | hasJointSchoolSystemWith |
P166693
|
FINISHED |
| Object | Delmar, Delaware |
—
|
NE NERFINISHED |
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: Delmar, Delaware | Statement: [Delmar, Maryland, hasJointSchoolSystemWith, Delmar, Delaware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasJointSchoolSystemWith Context triple: [Delmar, Maryland, hasJointSchoolSystemWith, Delmar, Delaware]
-
A.
hasJointProgramWith
Indicates that two entities collaborate to offer a shared or coordinated program, initiative, or course of study.
-
B.
hasPublicEducationSystem
Indicates that a governing body or region maintains an organized, state-funded system of schools and educational institutions accessible to the general public.
-
C.
combinedSchool
chosen
Indicates that two or more schools have been merged or jointly organized into a single combined educational entity or program.
-
D.
hasCollegeSystem
Indicates that an entity operates under, is organized by, or is associated with a particular college or higher-education institutional system.
-
E.
hasNumberOfSchools
Indicates the quantity of schools associated with a given entity.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6af88728c8190b9aee1e8269369f1 |
completed | May 3, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:47 p.m.