Triple
T17362573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandy railway station |
E422103
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
KDY
KDY is the station code for Kandy railway station, a major rail hub in the central highlands of Sri Lanka.
|
E1265017
|
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: KDY | Statement: [Kandy railway station, hasStationCode, KDY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KDY Context triple: [Kandy railway station, hasStationCode, KDY]
-
A.
KDH
KDH is a Slovak Christian democratic political party known for its center-right, pro-European, and socially conservative positions.
-
B.
KDH
KDH is the IATA airport code for Kandahar International Airport, a major airport serving the city of Kandahar in southern Afghanistan.
-
C.
Ky
Ky is the given name of Ky Bowman, an American professional basketball player known for his time in the NBA and overseas leagues.
-
D.
KUD
KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
-
E.
KND
KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
- 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: KDY Triple: [Kandy railway station, hasStationCode, KDY]
Generated description
KDY is the station code for Kandy railway station, a major rail hub in the central highlands of Sri Lanka.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KDY Target entity description: KDY is the station code for Kandy railway station, a major rail hub in the central highlands of Sri Lanka.
-
A.
KDH
KDH is a Slovak Christian democratic political party known for its center-right, pro-European, and socially conservative positions.
-
B.
KDH
KDH is the IATA airport code for Kandahar International Airport, a major airport serving the city of Kandahar in southern Afghanistan.
-
C.
Ky
Ky is the given name of Ky Bowman, an American professional basketball player known for his time in the NBA and overseas leagues.
-
D.
KUD
KUD is the station code used to identify Kungsträdgården metro station in the Stockholm metro system.
-
E.
KND
KND is the abbreviated name for the animated television series "Codename: Kids Next Door," which follows a group of child operatives fighting adult tyranny from their high-tech treehouse headquarters.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4e3c3481909dfaa00334c5010e |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01956294ec819083c1dde8fc2685e4 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a019b7ab6bc8190843e2c6c7f2007d7 |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c53d8b0819083f380693943f881 |
completed | May 11, 2026, 9:07 a.m. |
Created at: April 10, 2026, 5:44 a.m.