Triple
T10184197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretariat of State for Defence (Spain) |
E236865
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
SEDEF
SEDEF is the Spanish Ministry of Defence’s Secretariat of State responsible for high-level planning, management, and administration of national defense policy and resources.
|
E846520
|
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: SEDEF | Statement: [Secretariat of State for Defence (Spain), hasAbbreviation, SEDEF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SEDEF Context triple: [Secretariat of State for Defence (Spain), hasAbbreviation, SEDEF]
-
A.
Sedfa
Sedfa is a town in Egypt that serves as one of the notable urban centers within the Asyut Governorate in Upper Egypt.
-
B.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
C.
SEDI
SEDI is the Executive Secretariat for Integral Development, a specialized body of the Organization of American States that promotes inclusive and sustainable development across member countries.
-
D.
Sediq
Sediq is an Austronesian indigenous language spoken by the Seediq people of central Taiwan.
-
E.
al-Safa
Al-Safa is one of the two small hills inside the Masjid al-Haram in Mecca between which Muslims perform the ritual walk (sa'i) during Hajj and Umrah.
- 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: SEDEF Triple: [Secretariat of State for Defence (Spain), hasAbbreviation, SEDEF]
Generated description
SEDEF is the Spanish Ministry of Defence’s Secretariat of State responsible for high-level planning, management, and administration of national defense policy and resources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SEDEF Target entity description: SEDEF is the Spanish Ministry of Defence’s Secretariat of State responsible for high-level planning, management, and administration of national defense policy and resources.
-
A.
Sedfa
Sedfa is a town in Egypt that serves as one of the notable urban centers within the Asyut Governorate in Upper Egypt.
-
B.
SE-D
SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
-
C.
SEDI
SEDI is the Executive Secretariat for Integral Development, a specialized body of the Organization of American States that promotes inclusive and sustainable development across member countries.
-
D.
Sediq
Sediq is an Austronesian indigenous language spoken by the Seediq people of central Taiwan.
-
E.
al-Safa
Al-Safa is one of the two small hills inside the Masjid al-Haram in Mecca between which Muslims perform the ritual walk (sa'i) during Hajj and Umrah.
- 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_69ca84d7260c8190bfbec36762943f37 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded3566f881909e0d1366f501d554 |
completed | April 2, 2026, 4:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3179b9de88190ba3beb7d6dbf7ad3 |
completed | April 6, 2026, 2:16 a.m. |
| NEDg | Description generation | batch_69d318d099648190a42fffec876711dd |
completed | April 6, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3194331c481909b8ef2dead8ed105 |
completed | April 6, 2026, 2:24 a.m. |
Created at: March 30, 2026, 9:12 p.m.