Triple
T14286562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chantho |
E354190
|
entity |
| Predicate | anatomicalType |
P113617
|
FINISHED |
| Object | insectoid humanoid |
—
|
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: insectoid humanoid | Statement: [Chantho, anatomicalType, insectoid humanoid]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: anatomicalType Context triple: [Chantho, anatomicalType, insectoid humanoid]
-
A.
anatomicalFeature
Indicates that one entity is an anatomical part, structure, or feature of another entity.
-
B.
limbType
Indicates the specific kind or category of limb associated with an entity (e.g., arm, leg, wing, fin).
-
C.
tipoDeÓrgano
Indicates that one entity is classified as a specific type or category of organ in relation to another entity.
-
D.
treatsAnatomicalSite
Indicates that an action, intervention, or agent is directed toward and intended to treat a specific anatomical site.
-
E.
affectsAnatomicalLocation
Indicates that one entity produces an effect on, or has an impact at, a specific anatomical location.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:11 a.m.