Triple
T6651991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shore Line East |
E150842
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | CTrail |
E237743
|
NE FINISHED |
How this triple was built (2 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: CTrail | Statement: [Shore Line East, brand, CTrail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CTrail Context triple: [Shore Line East, brand, CTrail]
-
A.
CTrail
chosen
CTrail is a regional rail service brand used by the Connecticut Department of Transportation for its commuter and intercity passenger train lines.
-
B.
CTrain
CTrain is Calgary’s light rail transit system that serves as the backbone of the city’s public transportation network.
-
C.
CTC
CTC is the commonly used abbreviation for the United Nations Security Council’s Counter-Terrorism Committee, which oversees global efforts to combat terrorism.
-
D.
CTC
CTC is the national trade union federation of Cuba that represents and coordinates the activities of Cuban workers across various sectors.
-
E.
CTC
CTC is the California Tahoe Conservancy, a state agency focused on environmental protection, public access, and resource management in the Lake Tahoe Basin.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0458fb48190a76d8d1d6273a92b |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eefb3b6c8190ba797dc51966e3a5 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:01 p.m.