Triple
T29699540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Giovinetto |
E751440
|
entity |
| Predicate | firstMappedUsing |
P56030
|
FINISHED |
| Object | surveys and U.S. Navy air photos |
—
|
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: surveys and U.S. Navy air photos | Statement: [Mount Giovinetto, firstMappedUsing, surveys and U.S. Navy air photos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMappedUsing Context triple: [Mount Giovinetto, firstMappedUsing, surveys and U.S. Navy air photos]
-
A.
mappedUsing
chosen
Indicates that one entity is associated or transformed into another entity through a specified mapping method or mechanism.
-
B.
firstFullyMappedIn
Indicates the earliest point (such as a version, release, or time) at which something was completely mapped or fully represented for the first time.
-
C.
firstUsedBy
Indicates that something was initially utilized, applied, or employed by a particular entity before any others.
-
D.
firstUsedAs
Indicates that one entity was the earliest or original thing in which another entity was used or applied.
-
E.
mappingBy
Indicates that one entity is related to another through a defined mapping or association, specifying which side or field governs the relationship.
- 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_69f0d6266f8481909e70bb41cda18587 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_6a0124a5d7848190a6b56d18db2f661d |
completed | May 11, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_6a01243da1808190ada3ce553e3f55b6 |
completed | May 11, 2026, 12:35 a.m. |
Created at: April 28, 2026, 7:22 p.m.