Triple
T4005152
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lloyd Center |
E89507
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lloyd Center |
E89507
|
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: Lloyd Center | Statement: [Lloyd Center, name, Lloyd Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lloyd Center Context triple: [Lloyd Center, name, Lloyd Center]
-
A.
Lloyd Center shopping mall
chosen
Lloyd Center shopping mall is a large, historic shopping complex in Portland, Oregon, known for its multi-level layout and indoor ice-skating rink.
-
B.
Lloyd Center Tower
Lloyd Center Tower is a prominent office skyscraper in Portland, Oregon, known as one of the key commercial landmarks in the Lloyd District.
-
C.
Westlake Center
Westlake Center is a major shopping, dining, and transit hub in downtown Seattle, Washington.
-
D.
Southcenter Mall
Southcenter Mall is a large regional shopping center in Tukwila, Washington, known as one of the biggest malls in the Pacific Northwest.
-
E.
McKeldin Mall
McKeldin Mall is the central, tree-lined green space and main quadrangle of the University of Maryland’s College Park campus, known for its expansive lawn, fountain, and surrounding academic buildings.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa5f7b308190adaad864eec98936 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c648d3c8190a85e5cdfb20f6044 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.