Triple
T8910695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashford International railway station |
E212172
|
entity |
| Predicate | hasIATAcode |
P2569
|
FINISHED |
| Object |
QDH
QDH is the IATA station code used to identify Ashford International railway station in Kent, England.
|
E766667
|
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: QDH | Statement: [Ashford International railway station, hasIATAcode, QDH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QDH Context triple: [Ashford International railway station, hasIATAcode, QDH]
-
A.
ZDH
ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
-
B.
DHN
DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
-
C.
DNH
DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
-
D.
QH
QH is the standard abbreviation for Qinghai, a large inland province in northwestern China known for the Qinghai-Tibet Plateau and Qinghai Lake.
-
E.
DHR
DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
- 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: QDH Triple: [Ashford International railway station, hasIATAcode, QDH]
Generated description
QDH is the IATA station code used to identify Ashford International railway station in Kent, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: QDH Target entity description: QDH is the IATA station code used to identify Ashford International railway station in Kent, England.
-
A.
ZDH
ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
-
B.
DHN
DHN is the IATA airport code for Dothan Regional Airport serving the Dothan, Alabama area in the United States.
-
C.
DNH
DNH is the abbreviated name for the Department of National Heritage, a government body responsible for preserving and promoting a nation's cultural and historical assets.
-
D.
QH
QH is the standard abbreviation for Qinghai, a large inland province in northwestern China known for the Qinghai-Tibet Plateau and Qinghai Lake.
-
E.
DHR
DHR is the stock ticker symbol for Danaher Corporation, a global science and technology company focused on life sciences, diagnostics, and environmental and applied solutions.
- 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_69ca839255248190b43984294abd92ae |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc65227d008190b13ba162d0b3c9d1 |
completed | April 1, 2026, 12:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfba36f8cc8190ab57ddc99b7219d1 |
completed | April 3, 2026, 1:01 p.m. |
| NEDg | Description generation | batch_69cfbade9330819096d4b0eeacdad6da |
completed | April 3, 2026, 1:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfbec2b8888190a0390168fdcef05f |
completed | April 3, 2026, 1:21 p.m. |
Created at: March 30, 2026, 6:55 p.m.