Triple
T581770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endangered Species Act |
E15073
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | ESA |
E15073
|
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: [Endangered Species Act, abbreviation, ESA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESA Context triple: [Endangered Species Act, abbreviation, ESA]
-
A.
ESA
chosen
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.
European Space Agency
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.
-
D.
CNES
CNES (Centre National d'Études Spatiales) is the French government space agency responsible for shaping and implementing France’s civil space policy and major space missions in Europe and worldwide.
-
E.
NASA
NASA is the United States government agency responsible for the nation’s civilian space program and for aeronautics and aerospace research.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b84899881909d5b2b4e67e22d9b |
completed | March 1, 2026, 8:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a508a025308190ac35a5e3606de4de |
completed | March 2, 2026, 3:48 a.m. |
Created at: March 1, 2026, 7:33 p.m.