Triple
T15473267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maryland Terrapins wrestling team |
E376717
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Terrapins |
E481472
|
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: Terrapins | Statement: [Maryland Terrapins wrestling team, nickname, Terrapins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrapins Context triple: [Maryland Terrapins wrestling team, nickname, Terrapins]
-
A.
Terrapins
chosen
Terrapins is the nickname for the University of Maryland’s athletic teams, especially its football team.
-
B.
Terrapin
Terrapin is a small freshwater turtle, often found in brackish coastal waters, known for its hard shell and semi-aquatic lifestyle.
-
C.
Bico de Pato
Bico de Pato is a tight, slow-speed hairpin-style corner at Brazil’s Autódromo José Carlos Pace (Interlagos) known for heavy braking and overtaking opportunities.
-
D.
Patos
Patos is a municipality in the state of Paraíba in northeastern Brazil, known as a regional commercial and service center in the semi-arid hinterland.
-
E.
Turtle
Turtle is a laid-back, loyal friend and driver in the TV series "Entourage," known for his comic relief and eventual growth into a more ambitious, entrepreneurial character.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6c57308190b4cfe661c26addd4 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d075e64819097061ef4c205577e |
completed | May 9, 2026, 12:48 p.m. |
Created at: April 10, 2026, 3:33 a.m.