Triple
T22222373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shard Place |
E549242
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Shard complex |
—
|
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: Shard complex | Statement: [Shard Place, partOf, Shard complex]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shard complex Context triple: [Shard Place, partOf, Shard complex]
-
A.
Shard
Shard is a prominent skyscraper in London, officially known as The Shard, recognized for its distinctive glass design and status as one of the tallest buildings in the United Kingdom.
-
B.
Shards
Shards is the official package manager and dependency management tool for the Crystal programming language.
-
C.
Shards XL
Shards XL is a large-scale artwork from the Irregular Polygons series, characterized by its bold geometric abstraction and expansive, shard-like forms.
-
D.
Shards III
Shards III is an individual artwork that forms part of the Irregular Polygons series, known for its exploration of geometric abstraction.
-
E.
Shard Quarter
chosen
Shard Quarter is a mixed-use development area in London centered around The Shard, featuring offices, residences, retail, and public spaces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b91f8d48190b828fcde59620ff5 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.