Triple
T8532043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huaihai Middle Road |
E201974
|
entity |
| Predicate | hasDistrictCharacter |
P30854
|
FINISHED |
| Object | upscale |
—
|
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: upscale | Statement: [Huaihai Middle Road, hasDistrictCharacter, upscale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistrictCharacter Context triple: [Huaihai Middle Road, hasDistrictCharacter, upscale]
-
A.
hasFamousDistrict
Indicates that an entity possesses or contains a district that is widely recognized or renowned.
-
B.
regionCharacter
chosen
Indicates a characteristic, feature, or quality that typifies or defines a particular region.
-
C.
hasDistrictKey
Indicates that an entity is associated with a specific district through a unique identifying key.
-
D.
hasStationDistrict
Indicates that a station is located within or associated with a particular administrative district.
-
E.
hasCurrentDistrict
Indicates that an entity is currently located in, represented by, or associated with a specific administrative or electoral district.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe676e2ac8190b65a3d2a935776fd |
completed | March 31, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:17 p.m.