Triple
T9687293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castleton Corners |
E234442
|
entity |
| Predicate | servedByBusRoute |
P14525
|
FINISHED |
| Object |
S62
The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
|
E814770
|
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: S62 | Statement: [Castleton Corners, servedByBusRoute, S62]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S62 Context triple: [Castleton Corners, servedByBusRoute, S62]
-
A.
S6
S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
-
B.
S6
S6 is one of the Munich S-Bahn suburban railway lines that connects central Munich with its surrounding regions.
-
C.
S52
S52 is a bus service route that provides public transportation access to the village of Grasmere.
-
D.
S26
S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
-
E.
A62
A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
- 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: S62 Triple: [Castleton Corners, servedByBusRoute, S62]
Generated description
The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S62 Target entity description: The S62 is a Staten Island bus route in New York City that connects Castleton Corners with other neighborhoods across the borough.
-
A.
S6
S6 is a commuter rail line of the Stuttgart S-Bahn network serving the greater Stuttgart metropolitan area in Germany.
-
B.
S6
S6 is one of the Munich S-Bahn suburban railway lines that connects central Munich with its surrounding regions.
-
C.
S52
S52 is a bus service route that provides public transportation access to the village of Grasmere.
-
D.
S26
S26 is a line of the Berlin S-Bahn urban rail network serving various stations across the Berlin metropolitan area.
-
E.
A62
A62 is a major A-road in northern England that connects the cities of Manchester and Leeds.
- 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_69ca84ca73208190957a900c8543bdcc |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9cd42cc081909abcf4c85592d950 |
completed | April 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1910f94048190bf72712ed55e355b |
completed | April 4, 2026, 10:30 p.m. |
| NEDg | Description generation | batch_69d19327f0b481908be85bcb0deccb46 |
completed | April 4, 2026, 10:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d193fac390819092dd913dc78e2841 |
completed | April 4, 2026, 10:43 p.m. |
Created at: March 30, 2026, 8:17 p.m.