Triple
T27348039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homo floresiensis |
E684280
|
entity |
| Predicate | pathologyHypothesesConsidered |
P47125
|
FINISHED |
| Object | Laron syndrome |
—
|
NE NERFINISHED |
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: Laron syndrome | Statement: [Homo floresiensis, pathologyHypothesesConsidered, Laron syndrome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pathologyHypothesesConsidered Context triple: [Homo floresiensis, pathologyHypothesesConsidered, Laron syndrome]
-
A.
pathologyFeature
Indicates that one entity is a pathological characteristic, sign, or abnormal finding associated with another entity in a medical or biological context.
-
B.
targetsPathophysiology
Indicates that an intervention, agent, or process is specifically directed at modifying or influencing a particular disease mechanism or pathological process.
-
C.
differentialDiagnosisIncludes
chosen
Indicates that a differential diagnosis list for a case or condition contains a particular possible diagnosis as one of the considered alternatives.
-
D.
hasEtiology
Indicates that one entity is the cause, origin, or underlying reason for the occurrence or existence of another entity or condition.
-
E.
asksToInvestigate
Indicates that one entity requests another entity to carry out an investigation into something.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f62ba5a110819092fe773ade8fec2e |
completed | May 2, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69f623a91b9c8190b2e2fdbc55cb89b6 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 27, 2026, 11:46 a.m.