Triple
T22304065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central California Traction Company |
E551328
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
CCT
CCT is a shortline railroad in California that primarily provides freight transportation services in the Central Valley region.
|
E1530395
|
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: CCT | Statement: [Central California Traction Company, hasAbbreviation, CCT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CCT Context triple: [Central California Traction Company, hasAbbreviation, CCT]
-
A.
CCT
CCT is an international scientific committee under the CIPM that focuses on establishing and improving global standards and methods for temperature measurement.
-
B.
CCT
CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
-
C.
CCT
CCT stands for Combat Control Team, an elite U.S. Air Force special operations unit specializing in air traffic control, fire support, and command and control in hostile or austere environments.
-
D.
CTT
CTT is the National Rail station code for Church Stretton railway station in Shropshire, England.
-
E.
CTT
CTT is a key organ within the Portuguese communications regulator CEPT, involved in coordinating and overseeing postal and telecommunications services.
- 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: CCT Triple: [Central California Traction Company, hasAbbreviation, CCT]
Generated description
CCT is a shortline railroad in California that primarily provides freight transportation services in the Central Valley region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CCT Target entity description: CCT is a shortline railroad in California that primarily provides freight transportation services in the Central Valley region.
-
A.
CCT
CCT is the station code for Kakinada Town railway station, a key rail hub in the city of Kakinada in Andhra Pradesh, India.
-
B.
CCT
CCT stands for Combat Control Team, an elite U.S. Air Force special operations unit specializing in air traffic control, fire support, and command and control in hostile or austere environments.
-
C.
CCT
CCT is an international scientific committee under the CIPM that focuses on establishing and improving global standards and methods for temperature measurement.
-
D.
CTT
CTT is the National Rail station code for Church Stretton railway station in Shropshire, England.
-
E.
CTT
CTT is a key organ within the Portuguese communications regulator CEPT, involved in coordinating and overseeing postal and telecommunications services.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15725de488190a32006cd99dd4a67 |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0acc9f16608190b6d1118238f96584 |
completed | May 18, 2026, 8:23 a.m. |
| NEDg | Description generation | batch_6a0acec65ef48190a9961d2c03361258 |
completed | May 18, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0acf8273388190ba99a4d5900a7cce |
completed | May 18, 2026, 8:36 a.m. |
Created at: April 16, 2026, 8:41 p.m.