Triple
T8299784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddington station |
E194320
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
EDD
EDD is the National Rail station code for Eddington railway station in the United Kingdom.
|
E724540
|
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: EDD | Statement: [Eddington station, hasStationCode, EDD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDD Context triple: [Eddington station, hasStationCode, EDD]
-
A.
EDD
EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
-
B.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
C.
EDDI
EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
-
D.
EDDM
EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
-
E.
EDDV
EDDV is the ICAO airport code for Hannover Airport, a major international airport serving the city of Hanover in northern Germany.
- 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: EDD Triple: [Eddington station, hasStationCode, EDD]
Generated description
EDD is the National Rail station code for Eddington railway station in the United Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: EDD Target entity description: EDD is the National Rail station code for Eddington railway station in the United Kingdom.
-
A.
EDD
EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
-
B.
EDDT
EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
-
C.
EDDI
EDDI is the ICAO airport code for Berlin Tempelhof Airport, the historic inner-city airfield in Berlin, Germany.
-
D.
EDDM
EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
-
E.
EDDV
EDDV is the ICAO airport code for Hannover Airport, a major international airport serving the city of Hanover in northern Germany.
- 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_69ca82e50ebc81909aa7b260c76bd757 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7dfb60e48190bfa5de1c1496d3b5 |
completed | March 31, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68bcb43081909e3a8a00947d03f2 |
completed | April 1, 2026, 6:49 p.m. |
| NEDg | Description generation | batch_69cd6d574ba88190a2538897d201d8c4 |
completed | April 1, 2026, 7:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e536724819095ad006bc0f013a4 |
completed | April 1, 2026, 8:21 p.m. |
Created at: March 30, 2026, 5:53 p.m.