Triple
T4578125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Social Code Book XI |
E101788
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SGB XI
SGB XI is the German Social Code Book that regulates the country’s statutory long-term care insurance system.
|
E453553
|
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: SGB XI | Statement: [Social Code Book XI, abbreviation, SGB XI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SGB XI Context triple: [Social Code Book XI, abbreviation, SGB XI]
-
A.
SIPG
SIPG is the state-owned operator and managing company of the Port of Shanghai, one of the world’s busiest container ports.
-
B.
Club Sportif Sfaxien
Club Sportif Sfaxien is a prominent Tunisian football club based in Sfax, known for its strong domestic record and intense rivalry with Espérance Sportive de Tunis.
-
C.
Club 152
Club 152 is a popular multi-level bar and live music venue on Memphis’s historic Beale Street, known for its energetic nightlife and performances.
-
D.
Divisione Nazionale
Divisione Nazionale was the former top-tier Italian football league that preceded the modern Serie A format.
-
E.
Melgar
Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
- 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: SGB XI Triple: [Social Code Book XI, abbreviation, SGB XI]
Generated description
SGB XI is the German Social Code Book that regulates the country’s statutory long-term care insurance system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SGB XI Target entity description: SGB XI is the German Social Code Book that regulates the country’s statutory long-term care insurance system.
-
A.
SIPG
SIPG is the state-owned operator and managing company of the Port of Shanghai, one of the world’s busiest container ports.
-
B.
Club Sportif Sfaxien
Club Sportif Sfaxien is a prominent Tunisian football club based in Sfax, known for its strong domestic record and intense rivalry with Espérance Sportive de Tunis.
-
C.
Club 152
Club 152 is a popular multi-level bar and live music venue on Memphis’s historic Beale Street, known for its energetic nightlife and performances.
-
D.
Divisione Nazionale
Divisione Nazionale was the former top-tier Italian football league that preceded the modern Serie A format.
-
E.
Melgar
Melgar is a popular tourist town in Colombia known for its warm climate, water parks, and proximity to major cities like Bogotá.
- 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_69bd43d4ce208190b53158c882b222e3 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd58e2a1808190be4582d5b3003d6c |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3ee510481909d481b157bd0b2bd |
completed | March 20, 2026, 11:10 p.m. |
| NEDg | Description generation | batch_69bdd5a85488819092a4a7cc4f58a425 |
completed | March 20, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdd63370088190adca99373f83374f |
completed | March 20, 2026, 11:20 p.m. |
Created at: March 20, 2026, 1:10 p.m.