Triple
T8828669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LibreOffice |
E210078
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object |
Base
Base is LibreOffice’s database management application, used to create, manage, and query databases through a graphical interface.
|
E761751
|
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: Base | Statement: [LibreOffice, component, Base]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Base Context triple: [LibreOffice, component, Base]
-
A.
Base
Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
-
B.
BASE
BASE is a physics experiment at CERN that precisely measures the properties of antiprotons to test fundamental symmetries such as CPT invariance.
-
C.
Base F
Base F is the former name of Vernadsky Research Base, a Ukrainian Antarctic research station known for its long-term scientific studies in fields such as meteorology, geology, and upper-atmosphere physics.
-
D.
Bas
Bas is a Sudanese-American rapper and songwriter from Queens, New York, best known as a Dreamville Records artist and frequent collaborator of J. Cole.
-
E.
Perus
Perus is the commonly used Finnish abbreviation for the Finns Party, a right-wing populist and nationalist political party in Finland.
- 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: Base Triple: [LibreOffice, component, Base]
Generated description
Base is LibreOffice’s database management application, used to create, manage, and query databases through a graphical interface.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Base Target entity description: Base is LibreOffice’s database management application, used to create, manage, and query databases through a graphical interface.
-
A.
Base
Base is Julia’s core standard library module that provides fundamental language functionality, built-in types, and essential operations.
-
B.
BASE
BASE is a physics experiment at CERN that precisely measures the properties of antiprotons to test fundamental symmetries such as CPT invariance.
-
C.
Base F
Base F is the former name of Vernadsky Research Base, a Ukrainian Antarctic research station known for its long-term scientific studies in fields such as meteorology, geology, and upper-atmosphere physics.
-
D.
Bas
Bas is a Sudanese-American rapper and songwriter from Queens, New York, best known as a Dreamville Records artist and frequent collaborator of J. Cole.
-
E.
Perus
Perus is the commonly used Finnish abbreviation for the Finns Party, a right-wing populist and nationalist political party in Finland.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc604c52a48190807e46c15e3c1558 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf896382708190a08c6bacf1157066 |
completed | April 3, 2026, 9:33 a.m. |
| NEDg | Description generation | batch_69cf8ab6c1a8819097b8a84902a10296 |
completed | April 3, 2026, 9:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8bc521dc81908918b48a25f290bb |
completed | April 3, 2026, 9:43 a.m. |
Created at: March 30, 2026, 6:47 p.m.