Triple
T30414122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangpu River cruises |
E773704
|
entity |
| Predicate | mainCityViewed |
P100951
|
FINISHED |
| Object | Shanghai |
—
|
NE NERFINISHED |
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: Shanghai | Statement: [Huangpu River cruises, mainCityViewed, Shanghai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainCityViewed Context triple: [Huangpu River cruises, mainCityViewed, Shanghai]
-
A.
mainTownOn
Indicates that one town is the primary or principal town located on or associated with a particular geographic feature, route, or area.
-
B.
cityOn
Indicates that a city is geographically located on a specified landform, area, or administrative region.
-
C.
cityView
chosen
Indicates that one entity offers a view of, or overlooks, a city.
-
D.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
E.
modernCityOnSite
Indicates that a modern city is located on the same site as, or directly overlies, an earlier settlement or place.
- 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_69f22490b8b48190ab10c886a8d58c89 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 29, 2026, 8:05 p.m.