Triple
T31735816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Washington v. Seattle School District No. 1, 458 U.S. 457 (1982) |
E809989
|
entity |
| Predicate | locationOfSchoolDistrict |
P94457
|
FINISHED |
| Object | Seattle, Washington |
E1640
|
NE 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: Seattle, Washington | Statement: [Washington v. Seattle School District No. 1, 458 U.S. 457 (1982), locationOfSchoolDistrict, Seattle, Washington]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfSchoolDistrict Context triple: [Washington v. Seattle School District No. 1, 458 U.S. 457 (1982), locationOfSchoolDistrict, Seattle, Washington]
-
A.
schoolDistrictHeadquartersLocatedIn
chosen
Indicates that the administrative headquarters of a school district is located within a specified geographic place.
-
B.
schoolDistrict
Indicates that one entity is a school district that administers, oversees, or serves the other entity (such as a school or geographic area).
-
C.
schoolBoardDistricts
Indicates the specific school board district that has jurisdiction over or is associated with an entity.
-
D.
schoolLocation
Indicates the place or area where a school is situated or operates.
-
E.
hasNearbySchoolDistrict
Indicates that one entity is located close to or within the service area of a particular school district.
- F. None of above.
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_69f348e0e4908190a884582eca646fb7 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a01b935e3948190a7af37b07938d618 |
completed | May 11, 2026, 11:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e658d08208190b473da0b68613e86 |
completed | June 14, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_6a01b8d198b48190b01e16ac9ce7e7bd |
completed | May 11, 2026, 11:09 a.m. |
Created at: April 30, 2026, 11:23 p.m.