Triple
T14773050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amtrak Downeaster |
E347183
|
entity |
| Predicate | viaStation |
P64719
|
FINISHED |
| Object |
Saco station
Saco station is a passenger rail station in Saco, Maine, served by Amtrak’s Downeaster route between Boston and Brunswick.
|
E1119478
|
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: Saco station | Statement: [Amtrak Downeaster, viaStation, Saco station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saco station Context triple: [Amtrak Downeaster, viaStation, Saco station]
-
A.
Prujakan Station
Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Seymour station
Seymour station is a small commuter rail stop in Seymour, Connecticut, served by Metro-North Railroad’s Waterbury Branch.
-
D.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
E.
Cabitos station
Cabitos station is a stop on Lima Metro’s Line 1 serving passengers in the southern part of Peru’s capital city.
- 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: Saco station Triple: [Amtrak Downeaster, viaStation, Saco station]
Generated description
Saco station is a passenger rail station in Saco, Maine, served by Amtrak’s Downeaster route between Boston and Brunswick.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Saco station Target entity description: Saco station is a passenger rail station in Saco, Maine, served by Amtrak’s Downeaster route between Boston and Brunswick.
-
A.
Prujakan Station
Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
-
B.
La Estrella station
La Estrella station is the southern terminal station of Line A of the Medellín Metro system in Colombia.
-
C.
Seymour station
Seymour station is a small commuter rail stop in Seymour, Connecticut, served by Metro-North Railroad’s Waterbury Branch.
-
D.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
E.
Cabitos station
Cabitos station is a stop on Lima Metro’s Line 1 serving passengers in the southern part of Peru’s capital city.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cfd26fc81909fba39c8705437ed |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe17fc37ec8190b2e9c786a5e7843e |
completed | May 8, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe18786294819080ce5ee0d8af00c9 |
completed | May 8, 2026, 5:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.