Triple
T18909869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bank of Chester County building |
E462568
|
entity |
| Predicate | localLandmarkStatus |
P107999
|
FINISHED |
| Object | local landmark in West Chester, Pennsylvania |
—
|
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: local landmark in West Chester, Pennsylvania | Statement: [Bank of Chester County building, localLandmarkStatus, local landmark in West Chester, Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: localLandmarkStatus Context triple: [Bank of Chester County building, localLandmarkStatus, local landmark in West Chester, Pennsylvania]
-
A.
hasLandmarkStatusIn
chosen
Indicates that an entity holds a recognized landmark status within a specified geographic or administrative area.
-
B.
isLocalLandmark
Indicates that something is recognized as a notable or significant landmark within a specific local area or community.
-
C.
hasLandmarkStatusFrom
Indicates that an entity has been granted a specific landmark status by a particular authority, source, or designation system.
-
D.
localStatus
Indicates the current condition or state of an entity within a specific local context or environment.
-
E.
hasLandmarkUnderManagement
Indicates that an entity is responsible for managing or overseeing a particular landmark.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c62182f48190ad81b6ef0c7bc7da |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.