Triple
T20319149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arundel railway station |
E492160
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
ARU
ARU is the National Rail station code for Arundel railway station in West Sussex, England.
|
E1424326
|
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: ARU | Statement: [Arundel railway station, stationCode, ARU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ARU Context triple: [Arundel railway station, stationCode, ARU]
-
A.
AArU
AArU is a regional organization that brings together universities from Arab countries to promote cooperation, coordination, and development in higher education and research.
-
B.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
C.
Aru
Aru is a scenic village and popular tourist destination in Jammu and Kashmir’s Anantnag district, known for its alpine meadows, trekking routes, and proximity to the Lidder River and Kolahoi Glacier.
-
D.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
E.
AR-D
AR-D is the ISO 3166-2 subdivision code assigned to Argentina’s San Luis Province.
- 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: ARU Triple: [Arundel railway station, stationCode, ARU]
Generated description
ARU is the National Rail station code for Arundel railway station in West Sussex, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ARU Target entity description: ARU is the National Rail station code for Arundel railway station in West Sussex, England.
-
A.
AArU
AArU is a regional organization that brings together universities from Arab countries to promote cooperation, coordination, and development in higher education and research.
-
B.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
C.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
D.
Aru
Aru is a scenic village and popular tourist destination in Jammu and Kashmir’s Anantnag district, known for its alpine meadows, trekking routes, and proximity to the Lidder River and Kolahoi Glacier.
-
E.
AR-D
AR-D is the ISO 3166-2 subdivision code assigned to Argentina’s San Luis Province.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778abd14819098a01fd32217fdde |
completed | April 20, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a086126c9a08190a6dcb30d118a2730 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086255182881908eeaa49d34bf3ba5 |
completed | May 16, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08635869148190992d75a8806f767c |
completed | May 16, 2026, 12:30 p.m. |
Created at: April 16, 2026, 11:20 a.m.