Triple
T2499893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierce County |
E52438
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Lakewood |
E102967
|
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: Lakewood | Statement: [Pierce County, contains, Lakewood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lakewood Context triple: [Pierce County, contains, Lakewood]
-
A.
Lakewood
chosen
Lakewood is a suburban city in Pierce County, Washington, located south of Tacoma within the greater Seattle metropolitan area.
-
B.
Lakewood
Lakewood is a densely populated inner-ring suburb of Cleveland, Ohio, known for its historic housing stock, walkable neighborhoods, and vibrant commercial districts along its main corridors.
-
C.
Lakewood
Lakewood is a suburban city in Los Angeles County, California, known for its post–World War II planned residential developments and proximity to Long Beach.
-
D.
Englewood
Englewood is a neighborhood on the South Side of Chicago, Illinois, historically known for its commercial hub and later for significant economic and social challenges.
-
E.
Kirkewood
Kirkewood is an alternative spelling of the name Kirkwood, which is used for various places and surnames in English-speaking regions.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1afd86c81909181c4b45d4f8bc5 |
completed | March 7, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5ce4dc2c8190a1327794ac1d1b15 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:46 p.m.