Triple
T19382153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panoramic Camera (Pancam) |
E484837
|
entity |
| Predicate | firstOperationalYear |
P19145
|
FINISHED |
| Object | 2004 |
—
|
LITERAL 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: 2004 | Statement: [Panoramic Camera (Pancam), firstOperationalYear, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstOperationalYear Context triple: [Panoramic Camera (Pancam), firstOperationalYear, 2004]
-
A.
firstRunningYear
chosen
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
B.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
C.
wasFirstBuiltInYear
Indicates that the initial construction of an entity was completed in a specified year.
-
D.
firstOperationalCrewFlightYear
Indicates the year in which the first operational crewed flight associated with the subject took place.
-
E.
firstPrototypeYear
Indicates the year in which the first prototype of an entity was created or completed.
- F. None of above.
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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61a6075a88190aed7afa3b8fd3021 |
completed | April 20, 2026, 12:21 p.m. |
| PD | Predicate disambiguation | batch_69e4fd602f008190aa9bc76ae17e4ce1 |
completed | April 19, 2026, 4:05 p.m. |
Created at: April 10, 2026, 1:35 p.m.