Triple
T22798918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northline Transit Center/HCC station |
E564327
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object |
METRORail system
The METRORail system is Houston, Texas’s light rail network that provides urban public transit across key corridors in the city.
|
E1557159
|
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: METRORail system | Statement: [Northline Transit Center/HCC station, partOf, METRORail system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: METRORail system Context triple: [Northline Transit Center/HCC station, partOf, METRORail system]
-
A.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
B.
Metrorail
Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
-
C.
Metrorail
Metrorail is a South African commuter rail service that operates urban and suburban passenger trains in major metropolitan areas across the country.
-
D.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
E.
Metro Rail
Metro Rail is the light rail rapid transit system serving the Buffalo–Niagara region of New York.
- 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: METRORail system Triple: [Northline Transit Center/HCC station, partOf, METRORail system]
Generated description
The METRORail system is Houston, Texas’s light rail network that provides urban public transit across key corridors in the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: METRORail system Target entity description: The METRORail system is Houston, Texas’s light rail network that provides urban public transit across key corridors in the city.
-
A.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
B.
Metrorail
Metrorail is Miami-Dade County’s elevated rapid transit system that connects key neighborhoods, suburbs, and downtown Miami.
-
C.
Metrorail
Metrorail is a South African commuter rail service that operates urban and suburban passenger trains in major metropolitan areas across the country.
-
D.
Metro Rail
Metro Rail is the urban rapid transit rail system serving Los Angeles County, providing light rail and subway services across the region.
-
E.
Metro Rail
Metro Rail is the light rail rapid transit system serving the Buffalo–Niagara region of New York.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cdb6ba48190936bd356704c1241 |
completed | April 29, 2026, 3:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7a2394481909a7829a69df92863 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8560e8c819098ffd01e1834a137 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba9c4bf048190abd9887498fa3621 |
completed | May 19, 2026, 12:07 a.m. |
Created at: April 17, 2026, 3:31 p.m.