Triple
T13120312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Land |
E311701
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Pipe Land |
E311700
|
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 Land | Statement: [Dark Land, precededBy, Pipe Land]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pipe Land Context triple: [Dark Land, precededBy, Pipe Land]
-
A.
Pipe Land
chosen
Pipe Land is a themed world in Super Mario Bros. 3 characterized by its maze-like layout of warp pipes and piranha plant–filled stages.
-
B.
Pipeline Road
Pipeline Road is a renowned birdwatching and hiking trail in Panama that runs through the tropical forests of Soberanía National Park.
-
C.
Pipe Night
Pipe Night is a short story collection by American writer John O'Hara, showcasing his sharp, dialogue-driven portraits of mid-20th-century American life and character.
-
D.
Sky Land
Sky Land is a high-altitude, cloud-filled world in Super Mario Bros. 3 known for its vertical level design and airborne challenges.
-
E.
Turbo River
Turbo River is a waterway in northwestern Colombia that runs through the municipality of Turbo in the Antioquia Department and drains into the Gulf of Urabá in the Caribbean Sea.
- 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_69f6e286de608190bf46af2eb656bb79 |
completed | May 3, 2026, 5:52 a.m. |
Created at: April 9, 2026, 9:06 p.m.