Triple
T23738081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Year of the Rat |
E586589
|
entity |
| Predicate | hasCycleOrder |
P153499
|
FINISHED |
| Object | first of twelve animal years |
—
|
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: first of twelve animal years | Statement: [Year of the Rat, hasCycleOrder, first of twelve animal years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCycleOrder Context triple: [Year of the Rat, hasCycleOrder, first of twelve animal years]
-
A.
hasCycleAccess
Indicates that an entity is permitted to use or access a bicycle or cycling-related resource.
-
B.
hasDegreeCycle
Indicates that an entity possesses or is associated with a degree-level academic program that is structured as a cycle (e.g., first, second, or third cycle in a multi-cycle degree system).
-
C.
isCyclic
Indicates that a structure, process, or sequence forms a closed loop in which elements or states repeat in a cycle.
-
D.
hasCycleStorage
Indicates that a place or facility provides designated storage space for bicycles.
-
E.
hasCycleLength
Indicates that an entity participates in or exhibits a cycle whose duration or size is specified by the associated length value.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:11 p.m.