Triple
T4645695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drosophila melanogaster |
E101765
|
entity |
| Predicate | hasLandmarkDiscovery |
P31387
|
FINISHED |
| Object | discovery of sex-linked inheritance |
—
|
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: discovery of sex-linked inheritance | Statement: [Drosophila melanogaster, hasLandmarkDiscovery, discovery of sex-linked inheritance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandmarkDiscovery Context triple: [Drosophila melanogaster, hasLandmarkDiscovery, discovery of sex-linked inheritance]
-
A.
hasSights
Indicates that an entity possesses or features notable sights, attractions, or points of interest.
-
B.
includesLandmark
Indicates that one location or area contains or encompasses a specific landmark within its boundaries.
-
C.
hasNotableExpedition
Indicates that an entity is associated with a significant or noteworthy expedition, journey, or exploratory mission.
-
D.
hasDiscovered
chosen
Indicates that one entity has found, detected, or uncovered the existence, presence, or truth of another entity or phenomenon.
-
E.
isLandmarkFor
Indicates that one entity serves as a notable or significant reference point or attraction for another entity, such as a place, route, or area.
- 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_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6632708c8190b627d99363ab062c |
completed | March 20, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69bd620fc5e081908325ac8e6a6384ab |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:14 p.m.