Triple
T17291259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carson station |
E419788
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
CAR
CAR is the station code assigned to Carson station, identifying it within the rail network.
|
E1260857
|
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: CAR | Statement: [Carson station, hasStationCode, CAR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CAR Context triple: [Carson station, hasStationCode, CAR]
-
A.
CAR
CAR is a research center dedicated to advancing the understanding, diagnosis, and treatment of autism spectrum disorders through scientific study and clinical collaboration.
-
B.
CAR
CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
-
C.
CAR
CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
-
D.
CAR
CAR is the Cordillera Administrative Region in the Philippines, an upland area in Northern Luzon known for its mountainous terrain and indigenous cultures.
-
E.
CAR
CAR is the commonly used abbreviation for Rugby Africa, the governing body for rugby union on the African continent.
- 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: CAR Triple: [Carson station, hasStationCode, CAR]
Generated description
CAR is the station code assigned to Carson station, identifying it within the rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: CAR Target entity description: CAR is the station code assigned to Carson station, identifying it within the rail network.
-
A.
CAR
CAR is the National Rail station code for Carlisle railway station in Cumbria, England.
-
B.
CAR
CAR is the commonly used abbreviation for the Chief of Army Reserve, the senior leader responsible for commanding and overseeing the United States Army Reserve.
-
C.
CAR
CAR is the standard NHL abbreviation for the Carolina Hurricanes professional ice hockey team.
-
D.
CAR
CAR is the acronym commonly used for the Council for Aboriginal Reconciliation, an Australian body established to promote understanding and improved relations between Aboriginal and Torres Strait Islander peoples and the wider community.
-
E.
CAR
CAR is the standard three-letter abbreviation used for the NFL team Carolina Panthers.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e437837d048190949b947f5437636d |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017959ffb0819099d70ed1541158ee |
completed | May 11, 2026, 6:38 a.m. |
| NEDg | Description generation | batch_6a017c9e99888190a99e3910c46d90c5 |
completed | May 11, 2026, 6:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017d340b988190a468753604150bd3 |
completed | May 11, 2026, 6:54 a.m. |
Created at: April 10, 2026, 5:40 a.m.