Triple
T5001307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMA |
E112377
|
entity |
| Predicate | associatedOrganization |
P37
|
FINISHED |
| Object | AMO |
E482538
|
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: AMO | Statement: [OMA, associatedOrganization, AMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMO Context triple: [OMA, associatedOrganization, AMO]
-
A.
AMO
chosen
AMO is the research and think-tank arm associated with Rem Koolhaas’s architecture firm OMA, focusing on interdisciplinary projects in architecture, culture, and politics.
-
B.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
C.
AMA
AMA is the leading professional association and lobbying group representing physicians and medical students in the United States.
-
D.
OMO
OMO is a globally recognized laundry detergent brand owned by Unilever, known for its stain-removal performance and family-oriented marketing.
-
E.
AMM
AMM is the commonly used abbreviation for the APEC Ministerial Meeting, the annual gathering of Asia-Pacific Economic Cooperation foreign and trade ministers.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72bf0de08190a07419514afc3a06 |
completed | March 20, 2026, 4:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be92598ff88190b63a589524180272 |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:34 p.m.