Triple
T9838039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPOT Earth observation satellites |
E239151
|
entity |
| Predicate | lastUnit |
P90261
|
FINISHED |
| Object | SPOT 7 |
E239151
|
NE FINISHED |
How this triple was built (3 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: SPOT 7 | Statement: [SPOT Earth observation satellites, lastUnit, SPOT 7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SPOT 7 Context triple: [SPOT Earth observation satellites, lastUnit, SPOT 7]
-
A.
SPOT Earth observation satellites
chosen
SPOT Earth observation satellites are a series of French-led remote sensing spacecraft that provide high-resolution optical imagery of Earth for applications such as mapping, environmental monitoring, and land-use analysis.
-
B.
Gaofen-4
Gaofen-4 is a Chinese high-orbit optical Earth observation satellite designed for continuous, wide-area imaging to support disaster monitoring, environmental surveillance, and resource management.
-
C.
Amazonia-1 satellite
Amazonia-1 satellite is Brazil’s first fully domestically designed and built Earth observation satellite, developed to monitor deforestation and environmental changes in the Amazon rainforest.
-
D.
Landsat 9
Landsat 9 is a NASA and USGS Earth observation satellite that continues the decades-long Landsat program by collecting high-resolution multispectral imagery to monitor and study changes on the planet’s surface.
-
E.
Gaofen-2
Gaofen-2 is a Chinese high-resolution Earth observation satellite used for detailed land imaging, resource monitoring, and disaster assessment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastUnit Context triple: [SPOT Earth observation satellites, lastUnit, SPOT 7]
-
A.
lastUnitToLeave
Indicates that the referenced unit is the final one to depart from a given location, group, or context.
-
B.
lastLetter
Indicates that one entity is the final character in the written or spelled form of another entity.
-
C.
lastMP
Indicates that one entity is the most recent Member of Parliament (MP) associated with, representing, or holding office for the other entity.
-
D.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
-
E.
lastWordsTo
Indicates that one entity spoke their final words or message directed specifically to another entity.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb347ff4c81908c312548a25bae71 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d257601eec8190b7fa205cee61bb23 |
completed | April 5, 2026, 12:36 p.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.