Triple
T17348869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acanthophis hawkei |
E421753
|
entity |
| Predicate | fangType |
P127135
|
FINISHED |
| Object | front‑fanged |
—
|
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: front‑fanged | Statement: [Acanthophis hawkei, fangType, front‑fanged]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fangType Context triple: [Acanthophis hawkei, fangType, front‑fanged]
-
A.
fairType
Indicates the classification or category of a fair (e.g., type of event or exhibition) associated with an entity.
-
B.
fanType
Indicates the specific category or kind of fan associated with an entity, such as its design, purpose, or operating principle.
-
C.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
D.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
E.
formationType
Indicates the specific structural or organizational configuration in which something is arranged, created, or formed.
- 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a2af5f88190b4c292ca30993b36 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a225b08190a50f984caa6513b9 |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:44 a.m.