Triple
T16800883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Class Wreckin' Cru |
E408348
|
entity |
| Predicate | locationFormed |
P13661
|
FINISHED |
| Object | Compton |
E369316
|
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: Compton | Statement: [World Class Wreckin' Cru, locationFormed, Compton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Compton Context triple: [World Class Wreckin' Cru, locationFormed, Compton]
-
A.
Compton
Compton is a common English surname borne by various notable individuals in science, politics, and the arts.
-
B.
Compton
Compton is a rural municipality in Quebec’s Estrie region, known for its agricultural landscape and proximity to the city of Sherbrooke.
-
C.
Compton, California
chosen
Compton, California is a city in southern Los Angeles County widely recognized as a historic center of West Coast hip hop and gangsta rap culture.
-
D.
Thorton
Thorton is a budget-oriented AMD Sempron CPU core derived from the Barton architecture, typically featuring a reduced L2 cache for lower-cost desktop processors.
-
E.
Merton
Merton is the former name of the city now known as Marion in Alabama, United States.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2c826808190aa0a5bfcde2e49a8 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab1598dc81909fa5118e739a3291 |
completed | May 10, 2026, 3:58 p.m. |
Created at: April 10, 2026, 5:22 a.m.