Triple
T18501451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ostring stop |
E452078
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Haltestelle Ostring
Haltestelle Ostring is a public transit stop, likely serving buses or trams, located in a German-speaking area.
|
E1327599
|
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: Haltestelle Ostring | Statement: [Ostring stop, hasName, Haltestelle Ostring]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haltestelle Ostring Context triple: [Ostring stop, hasName, Haltestelle Ostring]
-
A.
Orange Street station
Orange Street station is a stop on the Newark Light Rail system in Newark, New Jersey, serving local commuters with light rail transit connections.
-
B.
Leeland Road station
Leeland Road station is a Virginia Railway Express commuter rail stop serving suburban passengers on the Fredericksburg Line in Stafford County, Virginia.
-
C.
Strand station
Strand station was a former name of what is now Charing Cross Underground station on the London Underground network.
-
D.
Queen Lane station
Queen Lane station is a SEPTA Regional Rail stop in Philadelphia, Pennsylvania, serving the Chestnut Hill West Line.
-
E.
Ingleside Road station
Ingleside Road station is a light rail stop on The Tide system in Norfolk, Virginia, serving nearby residential and commercial areas.
- 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: Haltestelle Ostring Triple: [Ostring stop, hasName, Haltestelle Ostring]
Generated description
Haltestelle Ostring is a public transit stop, likely serving buses or trams, located in a German-speaking area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haltestelle Ostring Target entity description: Haltestelle Ostring is a public transit stop, likely serving buses or trams, located in a German-speaking area.
-
A.
Orange Street station
Orange Street station is a stop on the Newark Light Rail system in Newark, New Jersey, serving local commuters with light rail transit connections.
-
B.
Leeland Road station
Leeland Road station is a Virginia Railway Express commuter rail stop serving suburban passengers on the Fredericksburg Line in Stafford County, Virginia.
-
C.
Strand station
Strand station was a former name of what is now Charing Cross Underground station on the London Underground network.
-
D.
Queen Lane station
Queen Lane station is a SEPTA Regional Rail stop in Philadelphia, Pennsylvania, serving the Chestnut Hill West Line.
-
E.
Ingleside Road station
Ingleside Road station is a light rail stop on The Tide system in Norfolk, Virginia, serving nearby residential and commercial areas.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c43de48190b49b87c1bb591016 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047141e8208190b240a11ae3b02ec0 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a04738415508190945eec50944d96e9 |
completed | May 13, 2026, 12:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04746a380c819097df59bdbce0f6f6 |
completed | May 13, 2026, 12:54 p.m. |
Created at: April 10, 2026, 11:36 a.m.