Triple
T8090018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvernia University |
E188832
|
entity |
| Predicate | locatedInMetropolitanArea |
P294
|
FINISHED |
| Object | Reading metropolitan area |
E158096
|
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: Reading metropolitan area | Statement: [Alvernia University, locatedInMetropolitanArea, Reading metropolitan area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reading metropolitan area Context triple: [Alvernia University, locatedInMetropolitanArea, Reading metropolitan area]
-
A.
Reading metropolitan area
chosen
The Reading metropolitan area is a U.S. metropolitan region in southeastern Pennsylvania centered on the city of Reading and its surrounding communities.
-
B.
Reading urban area
The Reading urban area is a major conurbation in Berkshire, England, centered on the town of Reading and its surrounding suburbs and settlements.
-
C.
Tema Metropolitan Area
The Tema Metropolitan Area is a major urban and industrial hub in Ghana centered on the port city of Tema, known for its planned layout, manufacturing zones, and maritime trade activities.
-
D.
MARC Geographic Areas
MARC Geographic Areas is a standardized code list used in library cataloging to represent geographic locations in MARC records.
-
E.
Two Cities Area
The Two Cities Area is a central London district encompassing the historic City of London and the City of Westminster, known for its concentration of financial, political, and cultural landmarks.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640a42648190bc1a3072eb338e22 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.