Triple
T10529045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dartford railway station |
E248385
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
DFD
DFD is the National Rail station code assigned to Dartford railway station in Kent, England.
|
E869624
|
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: DFD | Statement: [Dartford railway station, hasStationCode, DFD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DFD Context triple: [Dartford railway station, hasStationCode, DFD]
-
A.
DFD
DFD is the commonly used abbreviation for the Division of Fluid Dynamics, a professional organization focused on the study and advancement of fluid mechanics research.
-
B.
DFD
DFD is the abbreviation for the Democratic Women’s League of Germany, a mass women’s organization that operated in East Germany.
-
C.
SFD
SFD is the National Rail station code for Salford Central railway station in Greater Manchester, England.
-
D.
FDF
FDF is the IATA airport code for Martinique Aimé Césaire International Airport, the main air gateway to the Caribbean island of Martinique.
-
E.
FDD
FDD (Frequency Division Duplex) is a communication method that separates uplink and downlink signals onto different frequency bands to enable simultaneous two-way wireless transmission.
- 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: DFD Triple: [Dartford railway station, hasStationCode, DFD]
Generated description
DFD is the National Rail station code assigned to Dartford railway station in Kent, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DFD Target entity description: DFD is the National Rail station code assigned to Dartford railway station in Kent, England.
-
A.
DFD
DFD is the commonly used abbreviation for the Division of Fluid Dynamics, a professional organization focused on the study and advancement of fluid mechanics research.
-
B.
DFD
DFD is the abbreviation for the Democratic Women’s League of Germany, a mass women’s organization that operated in East Germany.
-
C.
SFD
SFD is the National Rail station code for Salford Central railway station in Greater Manchester, England.
-
D.
FDF
FDF is the IATA airport code for Martinique Aimé Césaire International Airport, the main air gateway to the Caribbean island of Martinique.
-
E.
FDD
FDD (Frequency Division Duplex) is a communication method that separates uplink and downlink signals onto different frequency bands to enable simultaneous two-way wireless transmission.
- 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_69d381c5c7448190bec34bee7ec72bac |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509f6f4a88190ae6e0cc0bcbff0c5 |
completed | April 7, 2026, 1:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90e3caf4c8190b19199f1a68a00de |
completed | April 10, 2026, 2:50 p.m. |
| NEDg | Description generation | batch_69d9107f488481908845aef0fdf6d60d |
completed | April 10, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d911790010819093fc50952502fd59 |
completed | April 10, 2026, 3:04 p.m. |
Created at: April 6, 2026, 12:30 p.m.