Triple
T27111674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herndon area of Fairfax County, Virginia |
E686728
|
entity |
| Predicate | hasLocalMiddleSchool |
P27093
|
FINISHED |
| Object | Herndon Middle School |
—
|
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: Herndon Middle School | Statement: [Herndon area of Fairfax County, Virginia, hasLocalMiddleSchool, Herndon Middle School]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalMiddleSchool Context triple: [Herndon area of Fairfax County, Virginia, hasLocalMiddleSchool, Herndon Middle School]
-
A.
hasPublicMiddleSchool
chosen
Indicates that a given area or jurisdiction contains at least one publicly funded middle school.
-
B.
hasUpperElementarySchool
Indicates that a place or administrative area contains or is served by an upper elementary school.
-
C.
hasSchoolIn
Indicates that a school is located within or operates in a specified place or region.
-
D.
hasLowerSchoolEntry
Indicates that an entity is associated with or linked to a specific lower-level school at which it begins or began schooling.
-
E.
hasRegionalSchool
Indicates that an entity has an associated school that serves or operates within a specific geographic region.
- 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_69ef148accd48190b6ed6e13a15f2a4f |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 27, 2026, 8:54 a.m.