Triple
T21192372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MMS |
E522242
|
entity |
| Predicate | standardizedBy |
P1371
|
FINISHED |
| Object |
OMA
OMA (Open Mobile Alliance) is an industry forum that develops open standards and specifications to ensure interoperability and compatibility across mobile and wireless services and devices.
|
E1469916
|
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: [MMS, standardizedBy, OMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OMA Context triple: [MMS, standardizedBy, OMA]
-
A.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
B.
OMA
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
C.
OMA
OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
-
D.
OMA
OMA is a Mexican airport operator that manages and develops a network of airports in the central and northern regions of Mexico.
-
E.
OMA
OMA is the women's organization affiliated with Angola’s ruling MPLA party, focused on mobilizing and representing women in political and social life.
- 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: [MMS, standardizedBy, OMA]
Generated description
OMA (Open Mobile Alliance) is an industry forum that develops open standards and specifications to ensure interoperability and compatibility across mobile and wireless services and devices.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OMA Target entity description: OMA (Open Mobile Alliance) is an industry forum that develops open standards and specifications to ensure interoperability and compatibility across mobile and wireless services and devices.
-
A.
OMA
OMA is the ICAO airline designator assigned to Oman Air, the national carrier of Oman.
-
B.
OMA
OMA is a renowned international architecture firm known for its innovative, often experimental designs and influential contributions to contemporary architecture.
-
C.
OMA
OMA is the IATA airport code for Eppley Airfield, the primary commercial airport serving Omaha, Nebraska.
-
D.
OMA
OMA is a Mexican airport operator that manages and develops a network of airports in the central and northern regions of Mexico.
-
E.
OMA
OMA is the women's organization affiliated with Angola’s ruling MPLA party, focused on mobilizing and representing women in political and social life.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73338dbe881908360dedad65c964b |
completed | April 21, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a097583fe3c8190a4b2597472b26cd5 |
completed | May 17, 2026, 8 a.m. |
| NEDg | Description generation | batch_6a09761477c481909c1c6e557a265360 |
completed | May 17, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09768230a481908cc04374ed49f34d |
completed | May 17, 2026, 8:04 a.m. |
Created at: April 16, 2026, 3:07 p.m.