Triple
T18789009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Side, Jersey City |
E459457
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Lincoln Park Lake
Lincoln Park Lake is a scenic recreational lake located within Lincoln Park on the West Side of Jersey City, New Jersey.
|
E1350068
|
NE FINISHED |
How this triple was built (4 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: Lincoln Park Lake | Statement: [West Side, Jersey City, hasLandmark, Lincoln Park Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lincoln Park Lake Context triple: [West Side, Jersey City, hasLandmark, Lincoln Park Lake]
-
A.
City Park Lake
City Park Lake is a recreational lake in Budapest’s Városliget, known for boating in summer and ice skating in winter.
-
B.
Woodridge Lake
Woodridge Lake is a residential and recreational lake community in Goshen, Connecticut, known for boating, fishing, and lakeside homes.
-
C.
Lake Park
Lake Park is a public recreational park in Winona, Minnesota, known for its lakeside setting and outdoor amenities.
-
D.
Lake Park
Lake Park is a historic, Frederick Law Olmsted–designed public park in Milwaukee, Wisconsin, known for its scenic bluffs, trails, and views of Lake Michigan.
-
E.
Lake Park
Lake Park is a recreational lakefront park in Des Plaines, Illinois, known for its scenic water views, boating, and outdoor leisure activities.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lincoln Park Lake Triple: [West Side, Jersey City, hasLandmark, Lincoln Park Lake]
Generated description
Lincoln Park Lake is a scenic recreational lake located within Lincoln Park on the West Side of Jersey City, New Jersey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lincoln Park Lake Target entity description: Lincoln Park Lake is a scenic recreational lake located within Lincoln Park on the West Side of Jersey City, New Jersey.
-
A.
City Park Lake
City Park Lake is a recreational lake in Budapest’s Városliget, known for boating in summer and ice skating in winter.
-
B.
Woodridge Lake
Woodridge Lake is a residential and recreational lake community in Goshen, Connecticut, known for boating, fishing, and lakeside homes.
-
C.
Lake Park
Lake Park is a public recreational park in Winona, Minnesota, known for its lakeside setting and outdoor amenities.
-
D.
Lake Park
Lake Park is a historic, Frederick Law Olmsted–designed public park in Milwaukee, Wisconsin, known for its scenic bluffs, trails, and views of Lake Michigan.
-
E.
Lake Park
Lake Park is a recreational lakefront park in Des Plaines, Illinois, known for its scenic water views, boating, and outdoor leisure activities.
- F. None of above. chosen
Provenance (5 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_69d8d396f54c8190ba49db31e8743842 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e59784c5988190851755b7f47835e5 |
completed | April 20, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0590fe846c8190a2d31f7b847382e5 |
completed | May 14, 2026, 9:08 a.m. |
| NEDg | Description generation | batch_6a05956b9c2081909f358709562aa9c9 |
completed | May 14, 2026, 9:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0595c7c70081909ab778baf172db0e |
completed | May 14, 2026, 9:28 a.m. |
Created at: April 10, 2026, 11:53 a.m.