Triple
T494889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Gray |
E10270
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Cambridge, England |
E492
|
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: Cambridge, England | Statement: [Thomas Gray, workLocation, Cambridge, England]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cambridge, England Context triple: [Thomas Gray, workLocation, Cambridge, England]
-
A.
Cambridge, England
chosen
Cambridge, England is a historic university city on the River Cam renowned for the University of Cambridge and its longstanding contributions to education, science, and culture.
-
B.
Cambridge city center
Cambridge city center is the main commercial and cultural hub of Cambridge, Massachusetts, encompassing historic districts, universities, shops, and restaurants.
-
C.
Middlesex, England
Middlesex, England is a historic county in southeast England that once encompassed much of what is now Greater London.
-
D.
Oxford
Oxford is a historic English city renowned for its prestigious university, distinctive architecture, and long-standing academic and cultural influence.
-
E.
Cambridgeshire, England
Cambridgeshire, England is a historic county in eastern England known for its rural landscapes and as the home of the prestigious University of Cambridge.
- 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_69a2e847df8481909239ec08ccf1e376 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f0fdd5608190815fa36485df8962 |
completed | Feb. 28, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4984b8c848190a35d98d6d5858304 |
completed | March 1, 2026, 7:49 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.