Triple
T17561170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GDAL |
E427697
|
entity |
| Predicate | component |
P35
|
FINISHED |
| Object |
OGR
OGR is a core GDAL library module that provides support for reading, writing, and manipulating vector geospatial data formats.
|
E427697
|
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: OGR | Statement: [GDAL, component, OGR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OGR Context triple: [GDAL, component, OGR]
-
A.
OGRF
OGRF is a Russian military contingent stationed in the breakaway region of Transnistria, Moldova, tasked with guarding Soviet-era ammunition depots and maintaining a strategic presence in the area.
-
B.
GDAL
GDAL is an open-source geospatial data abstraction library widely used for reading, writing, and transforming a broad range of raster and vector geographic data formats.
-
C.
OGIS
OGIS is the U.S. federal office that mediates Freedom of Information Act (FOIA) disputes and oversees agency FOIA compliance to improve government transparency.
-
D.
OGC
OGC is the abbreviation for NASA’s Office of the General Counsel, the agency’s chief legal office responsible for providing legal advice and services.
-
E.
OGC
OGC is the Office of General Counsel within the Office of Justice Programs, providing legal advice and services on justice-related programs and policies.
- 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: OGR Triple: [GDAL, component, OGR]
Generated description
OGR is a core GDAL library module that provides support for reading, writing, and manipulating vector geospatial data formats.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OGR Target entity description: OGR is a core GDAL library module that provides support for reading, writing, and manipulating vector geospatial data formats.
-
A.
OGRF
OGRF is a Russian military contingent stationed in the breakaway region of Transnistria, Moldova, tasked with guarding Soviet-era ammunition depots and maintaining a strategic presence in the area.
-
B.
GDAL
chosen
GDAL is an open-source geospatial data abstraction library widely used for reading, writing, and transforming a broad range of raster and vector geographic data formats.
-
C.
OGIS
OGIS is the U.S. federal office that mediates Freedom of Information Act (FOIA) disputes and oversees agency FOIA compliance to improve government transparency.
-
D.
OGC
OGC is the abbreviation for NASA’s Office of the General Counsel, the agency’s chief legal office responsible for providing legal advice and services.
-
E.
OGC
OGC is the Office of General Counsel within the Office of Justice Programs, providing legal advice and services on justice-related programs and policies.
- F. None of above.
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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01dde252e08190bd8dbf8ba33927b7 |
completed | May 11, 2026, 1:47 p.m. |
| NEDg | Description generation | batch_6a01dec5eab081909fce130918af78fc |
completed | May 11, 2026, 1:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01df1aa7288190be05d05675aa6c80 |
completed | May 11, 2026, 1:52 p.m. |
Created at: April 10, 2026, 5:50 a.m.