Triple
T438308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manhattan Island |
E10058
|
entity |
| Predicate | majorUse |
P13668
|
FINISHED |
| Object | dense urban core |
—
|
LITERAL 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: dense urban core | Statement: [Manhattan Island, majorUse, dense urban core]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorUse Context triple: [Manhattan Island, majorUse, dense urban core]
-
A.
majorCase
Indicates that a legal case is of primary importance or high significance within a given context.
-
B.
majorSect
Indicates that one religious sect is the primary, dominant, or most influential branch within a broader religious tradition or context.
-
C.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
-
D.
majorExport
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
-
E.
majorFamily
Indicates that one entity belongs to or is a primary member of the same family group or lineage as another entity.
- F. None of above. chosen
Provenance (4 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef283be881909444aaf257451747 |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.