Triple
T31360704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willistown Township, Chester County, Pennsylvania |
E799855
|
entity |
| Predicate | hasOpenSpaceOrganization |
P148778
|
FINISHED |
| Object | Willistown Conservation Trust |
—
|
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: Willistown Conservation Trust | Statement: [Willistown Township, Chester County, Pennsylvania, hasOpenSpaceOrganization, Willistown Conservation Trust]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOpenSpaceOrganization Context triple: [Willistown Township, Chester County, Pennsylvania, hasOpenSpaceOrganization, Willistown Conservation Trust]
-
A.
hasOrganizations
chosen
Indicates that an entity is associated with, linked to, or includes one or more organizations.
-
B.
hasOpenSpaces
Indicates that an entity possesses or includes areas that are unobstructed, unoccupied, or otherwise open.
-
C.
hasOrganizingCommunity
Indicates that an event, project, or initiative is organized or coordinated by a specific community or group.
-
D.
establishedAsOpenSpace
Indicates that an area has been formally designated or set aside to remain as open, undeveloped space.
-
E.
hasStudentOrganization
Indicates that an entity (such as an institution or department) is associated with or hosts a particular student organization.
- 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_69f224e5e9bc8190a16339328897c4f8 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 29, 2026, 9:18 p.m.