Triple
T28780419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dover Area School District |
E726660
|
entity |
| Predicate | lawsuitYear |
P165583
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Dover Area School District, lawsuitYear, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lawsuitYear Context triple: [Dover Area School District, lawsuitYear, 2004]
-
A.
lawsuitSettlementYear
Indicates the year in which a lawsuit between parties was formally settled or resolved.
-
B.
yearFiled
Indicates the specific calendar year in which a document, case, application, or record was officially filed.
-
C.
notableCaseYear
Indicates the year in which a particular case became notable or gained recognized significance.
-
D.
disputeReferredYear
Indicates the year in which a dispute was formally referred to an authority, process, or forum for resolution.
-
E.
legalCaseHeParticipatedInDecisionYear
Indicates the year in which he participated in making the decision in a particular legal case.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596b210481908af6cd555748f75b |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65760fd3081908ffe014a5e2bf069 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:19 a.m.