Triple
T3597676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA Pink Line |
E76177
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Damen |
E367322
|
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: Damen | Statement: [CTA Pink Line, hasStation, Damen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damen Context triple: [CTA Pink Line, hasStation, Damen]
-
A.
Damen
chosen
Damen is a Chicago 'L' rapid transit station on the Blue Line serving the city's Wicker Park and Bucktown neighborhoods.
-
B.
Gents
Gents is the nickname for the men's athletic teams representing Centenary College of Louisiana.
-
C.
MAN
MAN is the three-letter IATA airport code for Manchester Airport, a major international airport serving the Greater Manchester area in England.
-
D.
MAN
MAN is a German commercial vehicle and engineering company best known for manufacturing trucks, buses, and diesel engines.
-
E.
Men
Men are the mortal human race of Middle-earth, known for their brief lifespans, diverse cultures, and pivotal role in the struggle against darkness in Tolkien’s legendarium.
- 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_69ad85d8042081908af94a04c410dec0 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc19c71608190a87c98214321214c |
completed | March 8, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b40316ebdc819088eb21b7087fb7e7 |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.