Triple
T23234781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | p-adic analytic groups |
E581256
|
entity |
| Predicate | locallyResembles |
P133041
|
FINISHED |
| Object | finite-dimensional p-adic manifold |
—
|
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: finite-dimensional p-adic manifold | Statement: [p-adic analytic groups, locallyResembles, finite-dimensional p-adic manifold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locallyResembles Context triple: [p-adic analytic groups, locallyResembles, finite-dimensional p-adic manifold]
-
A.
resembles
Indicates that one entity is similar in appearance, form, or characteristics to another.
-
B.
localSymmetry
Indicates that an entity exhibits symmetry within a localized region or subset of its structure, rather than across its entire extent.
-
C.
representedLocallyBy
Indicates that an entity is expressed, implemented, or instantiated in a specific local form or representation by another entity.
-
D.
lessSimilarTo
Indicates that one entity is considered to share fewer similarities or a weaker resemblance with another entity compared to some reference or alternative.
-
E.
hasLocalAnalogue
chosen
Indicates that one entity has a corresponding or comparable counterpart in a local or context-specific setting.
- 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_69e2460556f88190be1744a84a84173f |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f192e8c7548190b53434eeb2620a6e |
completed | April 29, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69effcdadec0819092ec1749ee453b4e |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:09 p.m.