Triple
T16976799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monticello station |
E411832
|
entity |
| Predicate | line |
P1293
|
FINISHED |
| Object | The Tide |
E416488
|
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: The Tide | Statement: [Monticello station, line, The Tide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Tide Context triple: [Monticello station, line, The Tide]
-
A.
The Tide
The Tide is a common shorthand for the University of Alabama’s storied Crimson Tide athletic programs, especially its powerhouse college football team.
-
B.
The Tide
chosen
The Tide is a light rail transit system serving the city of Norfolk in southeastern Virginia.
-
C.
The Tide Is High
"The Tide Is High" is a reggae-influenced pop song best known for Blondie’s 1980 chart-topping cover, which became one of the band’s signature hits.
-
D.
Tide Lines
Tide Lines is a Scottish band known for its anthemic blend of folk and pop-rock, often drawing on Highland and Gaelic influences.
-
E.
Ebb Tide
Ebb Tide is a 1932 film featuring American actress Frances Farmer in one of her early notable screen roles.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d183ff648190a3cb47242bf7e6ba |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4755ffc8190a5c861462e33d526 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:32 a.m.