Triple
T536869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Challenger Deep |
E12344
|
entity |
| Predicate | hasGeomorphologicalType |
P1250
|
FINISHED |
| Object | oceanic trench bottom |
—
|
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: oceanic trench bottom | Statement: [Challenger Deep, hasGeomorphologicalType, oceanic trench bottom]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeomorphologicalType Context triple: [Challenger Deep, hasGeomorphologicalType, oceanic trench bottom]
-
A.
hasLandform
Indicates that one entity possesses, contains, or is characterized by a particular natural landform.
-
B.
hasMorphologicalType
chosen
Indicates that an entity possesses or is classified by a particular morphological type or structural form.
-
C.
hasGeologicalSignificance
Indicates that something possesses notable importance or relevance within a geological context, such as Earth’s structure, history, or processes.
-
D.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
E.
geologicalFormation
Indicates that one entity is a geological structure or feature that characterizes or composes the physical makeup of another entity.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b51ff08190a39f4168fd9a7ddf |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.