Triple
T9266520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza 66 |
E222714
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Plaza 66 Tower 2 |
E222714
|
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: Plaza 66 Tower 2 | Statement: [Plaza 66, hasPart, Plaza 66 Tower 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plaza 66 Tower 2 Context triple: [Plaza 66, hasPart, Plaza 66 Tower 2]
-
A.
Plaza 66 Tower 1
Plaza 66 Tower 1 is a prominent skyscraper in Shanghai, China, known for its upscale office spaces and integration into the landmark Plaza 66 commercial complex.
-
B.
Sunshine Plaza
Sunshine Plaza is a major regional shopping and entertainment centre located in Maroochydore on Queensland’s Sunshine Coast.
-
C.
Worldwide Plaza
Worldwide Plaza is a major mixed-use skyscraper complex in Midtown Manhattan, New York City, known for its distinctive postmodern design and integration of office, residential, and retail spaces.
-
D.
Wanda Plaza
Wanda Plaza is a major chain of large-scale commercial shopping and entertainment complexes across China developed by the Dalian Wanda Group.
-
E.
Plaza 66
chosen
Plaza 66 is a prominent luxury shopping and office complex in Shanghai, China, known for its high-end retail stores and distinctive skyscraper towers.
- 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_69ca841f2e808190a64f4c31903a1332 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd074bac9481909419988a9e8d9bd5 |
completed | April 1, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b1ecfadc81909adf95fbbc77c389 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:33 p.m.