Triple
T27362760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Millersville, Pennsylvania |
E685871
|
entity |
| Predicate | isLocatedJustOutside |
P68769
|
FINISHED |
| Object | city of Lancaster, Pennsylvania |
—
|
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: city of Lancaster, Pennsylvania | Statement: [Millersville, Pennsylvania, isLocatedJustOutside, city of Lancaster, Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedJustOutside Context triple: [Millersville, Pennsylvania, isLocatedJustOutside, city of Lancaster, Pennsylvania]
-
A.
isLocatedOnOutskirtsOf
chosen
Indicates that one entity is situated on the outer edge or peripheral area of another entity, rather than in its central or inner part.
-
B.
isOutgroundOf
Indicates that one entity lies outside the boundary, extent, or coverage area defined by another entity.
-
C.
liesOutside
Indicates that one entity is located entirely beyond the spatial or conceptual boundary of another entity.
-
D.
hasOutdoorLocation
Indicates that an entity is associated with or possesses a specific outdoor place or setting.
-
E.
isLocatedToThe
Indicates a spatial relationship where one entity is positioned in a specific directional orientation relative to another 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_69ef14887c288190931b8431fdbf53c4 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 11:54 a.m.