Triple
T8519626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Parsons |
E201663
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Chicago |
E272290
|
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: Chicago | Statement: [Lucy Parsons, placeOfDeath, Chicago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chicago Context triple: [Lucy Parsons, placeOfDeath, Chicago]
-
A.
Chicago
Chicago is a long-running, Tony Award–winning Broadway musical known for its jazz-influenced score, satirical take on crime and celebrity, and iconic Bob Fosse–style choreography.
-
B.
City of Chicago
chosen
The City of Chicago is a major U.S. metropolis on Lake Michigan known for its influential architecture, diverse neighborhoods, and role as a cultural, economic, and transportation hub of the Midwest.
-
C.
Windy City
Windy City is a popular nickname for Chicago, a major U.S. city on Lake Michigan known for its architecture, cultural institutions, and influential history in transportation and industry.
-
D.
Windy City
Windy City is a common nickname for Wellington, the capital city of New Zealand, renowned for its strong and frequent winds.
-
E.
Windy City
Windy City is a common nickname for Hsinchu, a city in northern Taiwan known for its strong winds and major high-tech industry.
- 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_69ca8321bb44819081b74df0b710276d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe627de908190b463da0f26da4ffb |
completed | March 31, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce88bc6b008190a93fbd41089d6c72 |
completed | April 2, 2026, 3:18 p.m. |
Created at: March 30, 2026, 6:16 p.m.