Triple
T22117074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taung Child |
E546570
|
entity |
| Predicate | dentalDevelopmentStage |
P35359
|
FINISHED |
| Object | mixed dentition |
—
|
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: mixed dentition | Statement: [Taung Child, dentalDevelopmentStage, mixed dentition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dentalDevelopmentStage Context triple: [Taung Child, dentalDevelopmentStage, mixed dentition]
-
A.
dentition
chosen
Indicates the type, arrangement, or condition of teeth that an entity possesses.
-
B.
eraOfPrimaryDevelopment
Indicates the time period during which something was primarily developed or formed.
-
C.
distinguishingDentalFeature
Indicates that one entity has a dental characteristic that serves to differentiate it from another entity or group.
-
D.
toothAdaptation
Indicates how an organism’s teeth are structurally or functionally modified in response to its diet, environment, or evolutionary pressures.
-
E.
teethSownBy
Indicates that teeth were deliberately planted or scattered by a particular agent or source.
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1294e85708190b455846bacbdfd03 |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.