Triple
T10927307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Japanese national ski jumping team |
E258101
|
entity |
| Predicate | governingBodyAbbreviation |
P2886
|
FINISHED |
| Object |
SAJ
SAJ is the Ski Association of Japan, the national governing body for ski sports in Japan, including ski jumping.
|
E893562
|
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: SAJ | Statement: [Japanese national ski jumping team, governingBodyAbbreviation, SAJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAJ Context triple: [Japanese national ski jumping team, governingBodyAbbreviation, SAJ]
-
A.
SAJ
SAJ is a Jewish congregation and community in New York City historically associated with the Reconstructionist movement and progressive Jewish practice.
-
B.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
C.
SAIT
SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
-
D.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
E.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
- 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: SAJ Triple: [Japanese national ski jumping team, governingBodyAbbreviation, SAJ]
Generated description
SAJ is the Ski Association of Japan, the national governing body for ski sports in Japan, including ski jumping.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAJ Target entity description: SAJ is the Ski Association of Japan, the national governing body for ski sports in Japan, including ski jumping.
-
A.
SAJ
SAJ is a Jewish congregation and community in New York City historically associated with the Reconstructionist movement and progressive Jewish practice.
-
B.
SA3
SA3 is the 3GPP security working group responsible for specifying and evolving security architecture and mechanisms across mobile communication standards.
-
C.
SAIT
SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
-
D.
SAU
SAU is an international university established by the South Asian Association for Regional Cooperation (SAARC) in New Delhi, India, focusing on postgraduate and doctoral education and research for students from South Asian countries.
-
E.
SAU
SAU is the three-letter ISO 3166-1 alpha-3 country code assigned to Saudi Arabia.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709165188190aa30dd08deddade4 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e217475344819088b44b6efb2df1c8 |
completed | April 17, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69e21d8aea2881908ac8f5225b8739c5 |
completed | April 17, 2026, 11:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e21eb18a1881908ded331db89063ed |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 8, 2026, 9:22 p.m.