Triple
T10159792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M5 |
E233858
|
entity |
| Predicate | connectsCity |
P4245
|
FINISHED |
| Object | Worcester |
E380953
|
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: Worcester | Statement: [M5, connectsCity, Worcester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worcester Context triple: [M5, connectsCity, Worcester]
-
A.
Worcester
Worcester is a large agricultural and commercial town in South Africa’s Western Cape, known for its vineyards, fruit farming, and surrounding mountain scenery.
-
B.
Worcester
Worcester is a small town in Otsego County, New York, known for its rural character and location in the central part of the state.
-
C.
Worcester
chosen
Worcester is a historic cathedral city in Worcestershire, England, situated on the River Severn and known for its medieval architecture and cultural heritage.
-
D.
Worcester, Massachusetts
Worcester, Massachusetts is a major city in central Massachusetts known as a historic industrial and educational hub often called the "Heart of the Commonwealth."
-
E.
Worcester metropolitan area
The Worcester metropolitan area is a U.S. Census-defined region in central Massachusetts centered on the city of Worcester, encompassing surrounding suburban and rural communities.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec5831e481909b48fdfa8f1c670b |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d31774617c8190848ad4990fe5801d |
completed | April 6, 2026, 2:16 a.m. |
Created at: March 30, 2026, 9:09 p.m.