Triple
T7262839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paraguayan guaraní |
E159695
|
entity |
| Predicate | codeNumeric |
P508
|
FINISHED |
| Object | 600 |
—
|
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: 600 | Statement: [Paraguayan guaraní, codeNumeric, 600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeNumeric Context triple: [Paraguayan guaraní, codeNumeric, 600]
-
A.
numericCode
chosen
Indicates that an entity is associated with a specific numerical identifier or classification code.
-
B.
containsNumber
Indicates that one entity includes or has at least one numeric value or digit within it.
-
C.
number
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
D.
hasNumberCategory
Indicates that an entity is associated with a specific numerical classification or type.
-
E.
performsNumber
Indicates that an entity carries out or executes a specific numbered item, such as a task, role, or performance identified by that number.
- 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_69c68838f9948190875fd60b2351230c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb088dac8190b353f6ea3d686025 |
completed | March 27, 2026, 8:39 p.m. |
| PD | Predicate disambiguation | batch_69c6e76876608190ac4652bc7153302e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:57 p.m.