Triple
T6125389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S-band |
E136582
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | ESA |
E14761
|
NE FINISHED |
How this triple was built (2 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: ESA | Statement: [S-band, usedBy, ESA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESA Context triple: [S-band, usedBy, ESA]
-
A.
ESA
ESA is a landmark U.S. environmental law that provides for the conservation and protection of threatened and endangered plant and animal species and their habitats.
-
B.
ESA
ESA is a major professional organization dedicated to advancing the science and practice of ecology.
-
C.
ESA
ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
-
D.
ESA
ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
-
E.
European Space Agency
chosen
The European Space Agency is an intergovernmental organization dedicated to space exploration and research, coordinating the space activities of its European member states and partnering with major space agencies worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c008a0a37c81908e5b4f879158afb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c2791948190ba33458edfd1ebe8 |
completed | March 22, 2026, 9:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135b2500c8190aaf67b059ccbe3f1 |
completed | March 23, 2026, 12:44 p.m. |
Created at: March 22, 2026, 4:14 p.m.