Triple
T947534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle Central Library |
E20445
|
entity |
| Predicate | architectureFirm |
P2468
|
FINISHED |
| Object |
OMA
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
|
E112377
|
NE FINISHED |
How this triple was built (4 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: OMA | Statement: [Seattle Central Library, architectureFirm, OMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMA Context triple: [Seattle Central Library, architectureFirm, OMA]
-
A.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
B.
SOM
SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
-
C.
Mecanoo
Mecanoo is a Dutch architecture firm renowned for its innovative, context-sensitive designs for cultural, educational, and public buildings worldwide.
-
D.
OM
OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
-
E.
OM
OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OMA Triple: [Seattle Central Library, architectureFirm, OMA]
Generated description
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OMA Target entity description: OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
A.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
B.
SOM
SOM is the three-letter ISO 3166-1 alpha-3 country code assigned to Somalia.
-
C.
Mecanoo
Mecanoo is a Dutch architecture firm renowned for its innovative, context-sensitive designs for cultural, educational, and public buildings worldwide.
-
D.
OM
OM is the post-nominal abbreviation used by members of the Order of Merit, a prestigious British honor recognizing distinguished service in the armed forces, science, art, literature, or the promotion of culture.
-
E.
OM
OM is the two-letter ISO 3166-1 alpha-2 country code assigned to Oman for international identification and data standards.
- F. None of above. chosen
Provenance (5 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3be19448190a8863fce3d152430 |
completed | March 1, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933a8649481909d07eec014c1956c |
completed | March 5, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69aa48cb9afc8190aed4d64e8c3cce6f |
completed | March 6, 2026, 3:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aa498d1ad88190bf68dcae80744071 |
completed | March 6, 2026, 3:27 a.m. |
Created at: March 1, 2026, 7:40 p.m.