Triple
T26306795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiangdong |
E661706
|
entity |
| Predicate | modernApproximateArea |
P142233
|
FINISHED |
| Object | southern Jiangsu |
—
|
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: southern Jiangsu | Statement: [Jiangdong, modernApproximateArea, southern Jiangsu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernApproximateArea Context triple: [Jiangdong, modernApproximateArea, southern Jiangsu]
-
A.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
B.
hasApproximateSurfaceArea
Indicates that an entity is associated with a surface area value that is an estimate rather than an exact measurement.
-
C.
modernAreaCorrespondsTo
Indicates that a historical or former area is associated with, or has its equivalent in, a specified modern geographic or administrative area.
-
D.
representedArea
Indicates that one entity serves as a representation or depiction of a particular area or region.
-
E.
modernRegionArea
chosen
Indicates the area or size of a region in its modern or current geopolitical form.
- F. None of above.
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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 26, 2026, 10:19 p.m.