Triple
T8409069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baldwin Elementary School |
E198575
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Manassas |
E5331
|
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: Manassas | Statement: [Baldwin Elementary School, cityServed, Manassas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manassas Context triple: [Baldwin Elementary School, cityServed, Manassas]
-
A.
Manassas
chosen
Manassas is an independent city in Northern Virginia best known as the site of two major American Civil War battles and now a suburban community within the Washington, D.C. metropolitan area.
-
B.
Manassas
Manassas is a small city located in Tattnall County in southeastern Georgia, United States.
-
C.
Manassas
Manassas was a 1970s rock band formed by Stephen Stills that blended rock, country, blues, and Latin influences.
-
D.
Sharpsburg
Sharpsburg is a small town in Coweta County, Georgia, known for its quiet residential character within the Atlanta metropolitan area.
-
E.
Sharpsburg
Sharpsburg is a small town in North Carolina known for its residential character and location within the Rocky Mount metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8317045c8190b69cc99854b633be |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88ae6fc08190bba328a2d6f2e36e |
completed | April 2, 2026, 3:18 p.m. |
Created at: March 30, 2026, 6:05 p.m.