Triple
T7545570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. Mary's City, Maryland |
E178392
|
entity |
| Predicate | foundingShip |
P34263
|
FINISHED |
| Object | Dove |
E202510
|
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: Dove | Statement: [St. Mary's City, Maryland, foundingShip, Dove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dove Context triple: [St. Mary's City, Maryland, foundingShip, Dove]
-
A.
Dove
Dove is a global personal care brand known for its moisturizing soaps, body washes, and beauty products, as well as its marketing campaigns promoting real beauty and body positivity.
-
B.
Dove
Dove is a common English surname shared by various notable individuals across fields such as art, literature, and public life.
-
C.
The Dove
chosen
The Dove is a name commonly associated with peace, purity, and gentleness, often used for churches, ships, or symbolic figures.
-
D.
Coolac
Coolac is a small rural village in New South Wales, Australia, situated in the Riverina region along a major inland transport route.
-
E.
Crest
Crest is a well-known oral care brand, particularly recognized for its toothpastes and whitening products.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f898069881909fa8f9c885c4565b |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f21aa5c819085e8d1ecbd9b01e3 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.