Triple
T10032564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ST Express bus |
E204884
|
entity |
| Predicate | hasStopAt |
P17789
|
FINISHED |
| Object |
Bellevue
Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its downtown skyline, tech industry presence, and role as a regional commercial and transit hub.
|
E603601
|
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: Bellevue | Statement: [ST Express bus, hasStopAt, Bellevue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellevue Context triple: [ST Express bus, hasStopAt, Bellevue]
-
A.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
-
B.
Bellevue
Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
-
C.
Bellevue
Bellevue is a Canadian television drama series starring Anna Paquin as a detective investigating the disappearance of a transgender teen in a small, tightly knit town.
-
D.
Bellevue
Bellevue is a city in eastern Nebraska, part of the Omaha metropolitan area and one of the state's oldest continuous settlements.
-
E.
Bellevue
Bellevue is a commuter rail station in West Roxbury, Boston, served by the MBTA's Needham Line.
- 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: Bellevue Triple: [ST Express bus, hasStopAt, Bellevue]
Generated description
Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its downtown skyline, tech industry presence, and role as a regional commercial and transit hub.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bellevue Target entity description: Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its downtown skyline, tech industry presence, and role as a regional commercial and transit hub.
-
A.
Bellevue
chosen
Bellevue is a major city in Washington State’s Seattle metropolitan area, known for its thriving downtown, tech industry presence, and high quality of life.
-
B.
Bellevue
Bellevue is a city in eastern Nebraska, part of the Omaha metropolitan area and one of the state's oldest continuous settlements.
-
C.
Bellevue
Bellevue is a small municipality located along Lake Geneva in the canton of Geneva in southwestern Switzerland.
-
D.
Bellevue
Bellevue is a scenic mountain station in the French Alps that serves as a popular starting point for hikes and ascents around Mont Blanc.
-
E.
Bellevue
Bellevue is a commuter rail station in West Roxbury, Boston, served by the MBTA's Needham Line.
- F. None of above.
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_69ca834d77188190ad645e33e8ca3200 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdce47845c8190ab5696267fdedcad |
completed | April 2, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f6ca9ac88190ac5f0a25954a2606 |
completed | April 9, 2026, 12:46 a.m. |
| NEDg | Description generation | batch_69d6fcaa16788190a4c7ef79a78febc6 |
completed | April 9, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6fd6d705c81908e469068937a79b3 |
completed | April 9, 2026, 1:14 a.m. |
Created at: March 30, 2026, 8:54 p.m.