Triple
T1483952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Look-and-say sequence |
E29421
|
entity |
| Predicate | hasFifthTerm |
P29161
|
FINISHED |
| Object | 111221 |
—
|
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: 111221 | Statement: [Look-and-say sequence, hasFifthTerm, 111221]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFifthTerm Context triple: [Look-and-say sequence, hasFifthTerm, 111221]
-
A.
fifthWork
Indicates that one entity is the fifth work (e.g., in a series, catalog, or sequence) associated with another entity.
-
B.
hasSixthForm
Indicates that an entity possesses or is associated with a sixth form level of education or program.
-
C.
fifthStation
Indicates that one entity occupies or corresponds to the fifth position in an ordered sequence, series, or arrangement relative to others.
-
D.
fourthTier
Indicates that one entity occupies the fourth level, rank, or tier in a hierarchical ordering or classification relative to others.
-
E.
fifthVolumePublicationYear
Indicates the year in which the fifth volume in a series was published.
- 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c679714c8190ac53630fb49e19c5 |
completed | March 1, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69a4c486eacc81909c272f9bdf50a7c3 |
completed | March 1, 2026, 10:58 p.m. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:12 p.m.