Triple
T22737572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrhenius base |
E562314
|
entity |
| Predicate | strongBaseExample |
P149534
|
FINISHED |
| Object | NaOH |
—
|
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: NaOH | Statement: [Arrhenius base, strongBaseExample, NaOH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: strongBaseExample Context triple: [Arrhenius base, strongBaseExample, NaOH]
-
A.
baseExamples
Indicates that something serves as a fundamental or illustrative example for understanding or demonstrating another concept, item, or case.
-
B.
standardExample
Indicates that something is a typical or canonical instance used to illustrate a general case or concept.
-
C.
typicalBase
Indicates that one entity serves as the standard or most representative base or foundation for another entity in typical or common cases.
-
D.
mainBase
Indicates that one entity serves as the primary or central base or headquarters for another entity.
-
E.
establishedBase
Indicates that an entity has set up or founded a base or primary operational location in relation to another entity or place.
- 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_69e24550859c81908727d91efc3a81b4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179707fd081909aed9b2f62b9f842 |
completed | April 29, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69eed2a971c0819088af574e40c9343f |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:22 p.m.