Triple
T31489203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endless Column |
E803360
|
entity |
| Predicate | hasNumberOfModules |
P19277
|
FINISHED |
| Object | 16 full rhomboidal modules |
—
|
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: 16 full rhomboidal modules | Statement: [Endless Column, hasNumberOfModules, 16 full rhomboidal modules]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfModules Context triple: [Endless Column, hasNumberOfModules, 16 full rhomboidal modules]
-
A.
numberOfModules
chosen
Indicates the total count of modules associated with a given entity.
-
B.
hasNumberOfMainModes
Indicates the relationship that specifies how many primary or main modes (e.g., ways of operation or types) are associated with a given entity.
-
C.
hasServiceModule
Indicates that an entity is equipped with, or associated with, a specific service module that provides supporting or auxiliary functions.
-
D.
hasModuleConstruct
Indicates that an entity includes, defines, or is composed of a specific module as one of its structural or functional components.
-
E.
hasModuli
Indicates that an entity possesses or is characterized by one or more moduli (e.g., parameters, modulus values, or modular structures) relevant to its definition or behavior.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: April 30, 2026, 9:37 p.m.