Triple
T19127095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Point Mall |
E468211
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Crystal Lake |
E1347972
|
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: Crystal Lake | Statement: [Crystal Point Mall, city, Crystal Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crystal Lake Context triple: [Crystal Point Mall, city, Crystal Lake]
-
A.
Crystal Lake
Crystal Lake is the fictional, ill-fated lakeside setting of the Friday the 13th horror film series, notorious as the stalking grounds of killer Jason Voorhees.
-
B.
Crystal Lake
chosen
Crystal Lake is a suburban city in McHenry County, Illinois, known for its residential communities, schools, and the namesake lake that serves as a local recreational hub.
-
C.
Crystal Lake
Crystal Lake is a scenic natural pond and popular public recreation area in Newton, Massachusetts, known for swimming, boating, and its surrounding parkland.
-
D.
Crystal Lake
Crystal Lake is a large, clear, and popular recreational inland lake in northwestern Michigan known for its scenic beauty and outdoor activities.
-
E.
Crystal Lake
Crystal Lake is a small freshwater lake located in the town of Sand Lake in upstate New York.
- 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cd851081909d5665b362ae08de |
completed | April 20, 2026, 8:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07470611cc81909f603f6a614abd5f |
completed | May 15, 2026, 4:17 p.m. |
Created at: April 10, 2026, 12:05 p.m.