Triple
T3543504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goodman Theatre |
E74941
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Loop, Chicago |
E105103
|
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: Loop, Chicago | Statement: [Goodman Theatre, locatedIn, Loop, Chicago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loop, Chicago Context triple: [Goodman Theatre, locatedIn, Loop, Chicago]
-
A.
Loop (Chicago)
chosen
Loop (Chicago) is the central downtown business district of Chicago, known for its dense concentration of offices, theaters, shopping, and its iconic elevated "L" train tracks.
-
B.
Gold Coast, Chicago
Gold Coast, Chicago is an affluent, historic Near North Side neighborhood known for its upscale shopping, luxury high-rises, and landmark mansions along Lake Michigan.
-
C.
Uptown, Chicago
Uptown, Chicago is a historic North Side neighborhood known for its entertainment district, diverse population, and iconic music and theater venues.
-
D.
In the Loop
In the Loop is a 2009 British political satire film, spun off from the TV series "The Thick of It," that lampoons government spin and the lead-up to war.
-
E.
Chicago Lakefront
Chicago Lakefront is the scenic shoreline area along Lake Michigan in Chicago, known for its parks, beaches, trails, and iconic skyline views.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf752dd481909226044ffe595338 |
completed | March 8, 2026, 6:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402dfb0688190a65b41c8dc13ee97 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:20 p.m.