Triple
T13120256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipe Land |
E311700
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Pipe Maze |
E1022820
|
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: Pipe Maze | Statement: [Pipe Land, hasAlternativeName, Pipe Maze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pipe Maze Context triple: [Pipe Land, hasAlternativeName, Pipe Maze]
-
A.
Pipe Maze
chosen
Pipe Maze is a themed world in the Super Mario series characterized by its extensive network of warp pipes and maze-like level design.
-
B.
Maze
Maze is a Slovenian surname most notably borne by Tina Maze, one of Slovenia’s greatest alpine ski racers.
-
C.
Dragonfly Maze
Dragonfly Maze is a puzzle-themed hedge maze and family-friendly attraction located in the Cotswold village of Bourton-on-the-Water in England.
-
D.
the Maze
The Maze was the informal name for Long Kesh prison in Northern Ireland, a high-security facility central to the Troubles and known for housing paramilitary prisoners and hunger strikers.
-
E.
Laberintos
Laberintos is a collection of short stories by Jorge Luis Borges that explores themes of infinity, mirrors, and labyrinthine realities through intricate, metaphysical narratives.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadcd7048190aa740262679e5bab |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:06 p.m.