Triple
T15333194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sedgwick |
E366592
|
entity |
| Predicate | hasCTAStationCode |
P1289
|
FINISHED |
| Object |
SED
SED is the CTA station code for the Sedgwick station on Chicago’s 'L' rapid transit system.
|
E1151691
|
NE FINISHED |
How this triple was built (4 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: SED | Statement: [Sedgwick, hasCTAStationCode, SED]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SED Context triple: [Sedgwick, hasCTAStationCode, SED]
-
A.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
B.
SER
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
-
C.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
D.
SES
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
-
E.
SES
SES is the abbreviation for the Senior Executive Service, the corps of top-level civilian managers and executives in the U.S. federal government.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SED Triple: [Sedgwick, hasCTAStationCode, SED]
Generated description
SED is the CTA station code for the Sedgwick station on Chicago’s 'L' rapid transit system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SED Target entity description: SED is the CTA station code for the Sedgwick station on Chicago’s 'L' rapid transit system.
-
A.
SED
SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
-
B.
SER
SER is the commonly used abbreviation for South Eastern Railway, a major railway zone in India.
-
C.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
D.
SES
SES is the abbreviation for the Senior Executive Service, the corps of top-level civilian managers and executives in the U.S. federal government.
-
E.
SES
SES is the commonly used abbreviation for St Edward's School, a co-educational independent boarding and day school in Oxford, England.
- F. None of above. chosen
Provenance (5 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01ecb904819082454622dcd77556 |
completed | May 9, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_69ff03d4432c8190af9ce13c0ff70a36 |
completed | May 9, 2026, 9:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff044e01308190b2f077aecae1eece |
completed | May 9, 2026, 9:54 a.m. |
Created at: April 10, 2026, 3:17 a.m.