Triple
T1164584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Manhattan |
E24571
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Inwood |
E113672
|
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: Inwood | Statement: [Upper Manhattan, contains, Inwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inwood Context triple: [Upper Manhattan, contains, Inwood]
-
A.
Inwood
chosen
Inwood is the northernmost neighborhood of Manhattan in New York City, known for its parks, residential character, and location at the tip of the island.
-
B.
Glenmont
Glenmont is the historic Victorian-era estate in Llewellyn Park, New Jersey, that served as the home of inventor Thomas Edison and his family.
-
C.
Walnut Hill
Walnut Hill is a residential neighborhood in West Philadelphia known for its early 20th-century rowhouses and proximity to several universities.
-
D.
Glen Oak
Glen Oak is a locality situated along the Williams River in New South Wales, Australia, known for its rural landscape and riverside setting.
-
E.
Forest Hill
Forest Hill is an affluent residential neighbourhood in midtown Toronto, Ontario, known for its upscale homes and prestigious schools.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccb3b388190938c68dee90b3f19 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace54f52988190b25c35271721c3ee |
completed | March 8, 2026, 2:56 a.m. |
Created at: March 1, 2026, 7:45 p.m.