Triple
T5920537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrapin Station |
E131687
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Terrapin Part 1 |
E131687
|
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: Terrapin Part 1 | Statement: [Terrapin Station, hasPart, Terrapin Part 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terrapin Part 1 Context triple: [Terrapin Station, hasPart, Terrapin Part 1]
-
A.
Terrapin Station
chosen
Terrapin Station is a 1977 studio album by the Grateful Dead known for its ambitious, suite-like title track and polished, orchestrated production.
-
B.
Turtle Tower
Turtle Tower is a small historic pagoda-like structure on an islet in Hanoi’s Hoàn Kiếm Lake, symbolizing the city and associated with the legendary Hoàn Kiếm (Returned Sword) myth.
-
C.
Terrapins
Terrapins is the nickname for the University of Maryland’s athletic teams, especially its football team.
-
D.
Turtle Blocks
Turtle Blocks is a visual, block-based programming environment designed to help learners explore coding and mathematical concepts through turtle graphics.
-
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_69c0085a1ed08190a7e9a8b6323fd680 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038019ea081908e652d74ff23f076 |
completed | March 22, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c03a95688190bfd51d7ada1e538f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.