Triple
T7956995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grosvenor Park |
E184764
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Chester |
E640330
|
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: Chester | Statement: [Grosvenor Park, locatedIn, Chester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chester Context triple: [Grosvenor Park, locatedIn, Chester]
-
A.
Chester
Chester is the full given name of American actor and musician Chet Hanks, son of actor Tom Hanks.
-
B.
Chester
Chester is a masculine given name of English origin that has been borne by various notable figures, including the 21st U.S. president, Chester A. Arthur.
-
C.
Chester
Chester is a small, historically industrial city in southeastern Pennsylvania that lies just southwest of Philadelphia along the Delaware River.
-
D.
Chester
Chester is the given name of Chester W. Nimitz, the prominent U.S. Navy fleet admiral who played a leading role in the Pacific theater during World War II.
-
E.
Chester
chosen
Chester is a historic walled city in northwest England known for its Roman heritage, medieval architecture, and distinctive two-tiered shopping galleries called the Rows.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe072ef4c8190a8e078c5280913db |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:11 p.m.