Triple
T7179162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arbroath railway station |
E167399
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
ARB
ARB is the National Rail station code for Arbroath railway station in Angus, Scotland.
|
E647810
|
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: ARB | Statement: [Arbroath railway station, hasStationCode, ARB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARB Context triple: [Arbroath railway station, hasStationCode, ARB]
-
A.
ARB
ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
-
B.
ARB
ARB is the California state agency responsible for regulating air quality and reducing air pollution and greenhouse gas emissions.
-
C.
ARA
ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
-
D.
ARA
ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
-
E.
ARC
ARC is a U.S. federal–state regional economic development agency focused on improving economic growth and quality of life in the Appalachian region.
- 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: ARB Triple: [Arbroath railway station, hasStationCode, ARB]
Generated description
ARB is the National Rail station code for Arbroath railway station in Angus, Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ARB Target entity description: ARB is the National Rail station code for Arbroath railway station in Angus, Scotland.
-
A.
ARB
ARB is the commonly used abbreviation for the Royal Academy of Science, Letters and Fine Arts of Belgium, a prominent Belgian learned society.
-
B.
ARB
ARB is the California state agency responsible for regulating air quality and reducing air pollution and greenhouse gas emissions.
-
C.
ARA
ARA is the station code for Ara Junction, a railway station in Bihar, India, on the Patna–Mughalsarai section of the Indian Railways network.
-
D.
ARA
ARA is the French administrative region of Auvergne-Rhône-Alpes, located in the southeast-central part of France and known for its diverse landscapes and major cities like Lyon and Grenoble.
-
E.
ARC
ARC is the commonly used acronym for the Augmentation Research Center, a pioneering research group known for its early work on interactive computing and human–computer interaction.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8b9756481908f35bceefb77ddce |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b935eb088190acb0b8a6b75addbb |
completed | March 28, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69c7bcfaf8608190908c5b58ecdf9aff |
completed | March 28, 2026, 11:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7bd68f4688190aa8ac988d2435bb7 |
completed | March 28, 2026, 11:37 a.m. |
Created at: March 27, 2026, 2:49 p.m.