Triple
T18962778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concrete and Gold |
E463951
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Dirty Water |
E1323350
|
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: Dirty Water | Statement: [Concrete and Gold, hasPart, Dirty Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirty Water Context triple: [Concrete and Gold, hasPart, Dirty Water]
-
A.
Dirty Water
chosen
"Dirty Water" is a 1966 garage rock song by The Standells, best known as an unofficial anthem of Boston and a staple of 1960s rock radio.
-
B.
Sweet Water
Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
-
C.
Black Water
Black Water is the grim historical nickname for the Cellular Jail in the Andaman and Nicobar Islands, infamous for its brutal treatment of Indian freedom fighters during British colonial rule.
-
D.
Black Water
Black Water is a 1992 novella by Joyce Carol Oates that fictionalizes a Chappaquiddick-like political scandal through the harrowing, stream-of-consciousness account of a young woman trapped in a sinking car.
-
E.
Yellow Water
Yellow Water is a renowned wetland and billabong area in Australia’s Kakadu National Park, famous for its rich wildlife and scenic boat cruises.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d420f481909aa22a0d22ac4af1 |
completed | April 20, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fdaa35481909d73538f92778165 |
completed | May 14, 2026, 10:11 a.m. |
Created at: April 10, 2026, noon