Triple
T7702381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatacoa Desert |
E174529
|
entity |
| Predicate | moreAccuratelyDescribedAs |
P78364
|
FINISHED |
| Object | dry tropical forest |
—
|
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: dry tropical forest | Statement: [Tatacoa Desert, moreAccuratelyDescribedAs, dry tropical forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moreAccuratelyDescribedAs Context triple: [Tatacoa Desert, moreAccuratelyDescribedAs, dry tropical forest]
-
A.
laterDescribedAs
Indicates that an entity is referred to or characterized by a particular description or label at a later time.
-
B.
alternateDescription
Indicates that an entity has an additional or substitute textual description that can be used in place of its primary description.
-
C.
officiallyDescribedAs
Indicates that an entity is formally characterized or defined using a specific description in an official or authoritative context.
-
D.
moreExpressiveThan
Indicates that one entity conveys ideas, emotions, or information with greater richness, nuance, or clarity than another.
-
E.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
- F. None of above. chosen
Provenance (4 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70402169481909b219dc5f4a64b9b |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c70165e78c8190bf6b3c34e243cb81 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c7040091608190a9e46ecfb2ff0bca |
completed | March 27, 2026, 10:26 p.m. |
Created at: March 27, 2026, 4:03 p.m.