Triple
T8829002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Downtown Cleveland |
E210084
|
entity |
| Predicate | hasPublicSpace |
P105
|
FINISHED |
| Object | Mall C |
E761783
|
NE 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: Mall C | Statement: [Downtown Cleveland, hasPublicSpace, Mall C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mall C Context triple: [Downtown Cleveland, hasPublicSpace, Mall C]
-
A.
Mall A
chosen
Mall A is a large, historic public green space and civic mall in downtown Cleveland that serves as a central gathering and event area for the city.
-
B.
Crystal Mall
Crystal Mall is a large Asian-themed shopping centre and marketplace located in the Metrotown area of Burnaby, British Columbia.
-
C.
Mallrat
Mallrat is an Australian indie-pop singer and songwriter known for her dreamy, introspective tracks and rising international profile.
-
D.
Margo City Mall
Margo City Mall is a major modern shopping and lifestyle center located in Depok, Indonesia, featuring a wide range of retail, dining, and entertainment options.
-
E.
Lachic shopping mall
Lachic shopping mall is a major upscale shopping and lifestyle complex located in the Sakae district of Nagoya, Japan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604c52a48190807e46c15e3c1558 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfab71962c8190823a1ca1d4fa56f3 |
completed | April 3, 2026, 11:58 a.m. |
Created at: March 30, 2026, 6:47 p.m.