Triple
T38463743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hangzhou Spark |
E912512
|
entity |
| Predicate | regionSlot |
P202077
|
FINISHED |
| Object | East Division |
—
|
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: East Division | Statement: [Hangzhou Spark, regionSlot, East Division]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionSlot Context triple: [Hangzhou Spark, regionSlot, East Division]
-
A.
regionFrom
Indicates that something originates from, is derived from, or is associated with a particular geographic or administrative region.
-
B.
regionIs
chosen
Indicates that one entity is located within, belongs to, or is associated with a specified geographic or administrative region.
-
C.
regionSub
Indicates that one region is a subregion or contained part of another, larger region.
-
D.
region1
Indicates that one entity is the first or primary region associated with, containing, or encompassing another entity.
-
E.
regionOfCity
Indicates that a specified area or district is a constituent part or subdivision of a particular city.
- 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_69f76e861d8c81908559031dc66e3c15 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a009d623f6c8190b702e2892c52fbb2 |
completed | May 10, 2026, 2:59 p.m. |
| PD | Predicate disambiguation | batch_6a009a3050d48190b64567f28e6ea463 |
completed | May 10, 2026, 2:46 p.m. |
Created at: May 3, 2026, 4:31 p.m.