Triple
T15786340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkana Boy |
E382746
|
entity |
| Predicate | dentalDevelopment |
P35359
|
FINISHED |
| Object | teeth indicate pre-adolescent age |
—
|
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: teeth indicate pre-adolescent age | Statement: [Turkana Boy, dentalDevelopment, teeth indicate pre-adolescent age]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dentalDevelopment Context triple: [Turkana Boy, dentalDevelopment, teeth indicate pre-adolescent age]
-
A.
dentition
chosen
Indicates the type, arrangement, or condition of teeth that an entity possesses.
-
B.
distinguishingDentalFeature
Indicates that one entity has a dental characteristic that serves to differentiate it from another entity or group.
-
C.
incisorCount
Indicates the number of incisor teeth an entity has.
-
D.
typicalLocationOfTooth
Indicates the usual or characteristic anatomical location where a tooth is found or situated.
-
E.
eraOfPrimaryDevelopment
Indicates the time period during which something was primarily developed or formed.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0540380448190a025338f0e62e6d1 |
completed | April 16, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69e00537bd1c81908d6e832792fd934f |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:48 a.m.