Triple
T14801723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozhikode railway station |
E347924
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
CLT
CLT is the station code for Kozhikode railway station, a major rail hub in the Indian state of Kerala.
|
E1120794
|
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: CLT | Statement: [Kozhikode railway station, stationCode, CLT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CLT Context triple: [Kozhikode railway station, stationCode, CLT]
-
A.
CLT
CLT is the IATA airport code for Charlotte Douglas International Airport, a major airline hub in Charlotte, North Carolina.
-
B.
CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
-
C.
CLT
CLT is the National Rail station code for Clacton-on-Sea railway station in Essex, England.
-
D.
CLT
CLT is the standard time zone used in Chile, typically corresponding to UTC−4 hours.
-
E.
CLT Independence
CLT Independence is a professional soccer club based in Charlotte, North Carolina, competing in the USL League One.
- 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: CLT Triple: [Kozhikode railway station, stationCode, CLT]
Generated description
CLT is the station code for Kozhikode railway station, a major rail hub in the Indian state of Kerala.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CLT Target entity description: CLT is the station code for Kozhikode railway station, a major rail hub in the Indian state of Kerala.
-
A.
CLT
CLT is a fundamental statistical principle stating that the sum or average of many independent, identically distributed random variables tends to follow a normal distribution, regardless of the original distribution.
-
B.
CLT
CLT is the IATA airport code for Charlotte Douglas International Airport, a major airline hub in Charlotte, North Carolina.
-
C.
CLT
CLT is the National Rail station code for Clacton-on-Sea railway station in Essex, England.
-
D.
CLT
CLT is the standard time zone used in Chile, typically corresponding to UTC−4 hours.
-
E.
CLT Independence
CLT Independence is a professional soccer club based in Charlotte, North Carolina, competing in the USL League One.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf30d044819082ac038e06481aab |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24c4f690819087504fcfd2df8ba3 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe264b234881909903ebfc1039ec72 |
completed | May 8, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe26ca706881908fe0da780bd9f691 |
completed | May 8, 2026, 6:09 p.m. |
Created at: April 10, 2026, 1:31 a.m.