Triple
T7085761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Bransfield |
E165069
|
entity |
| Predicate | firstSurveyed |
P13788
|
FINISHED |
| Object | 1946–1948 |
—
|
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: 1946–1948 | Statement: [Mount Bransfield, firstSurveyed, 1946–1948]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstSurveyed Context triple: [Mount Bransfield, firstSurveyed, 1946–1948]
-
A.
firstRecordedSurveyYear
chosen
Indicates the calendar year in which the survey was first conducted or recorded for the entity.
-
B.
firstChartedOn
Indicates that an entity was first mapped, recorded, or charted on a specific date or during a specific time.
-
C.
firstTestedBy
Indicates that an item, concept, or process was initially tested or tried out by a particular agent or entity.
-
D.
firstEncounteredBy
Indicates that one entity is the person or agent who initially discovered, met, or came across the other entity for the first time.
-
E.
wasFirstObservedIn
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e512bda88190920ecb54b177e569 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:41 p.m.