Triple
T2656000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .rf |
E54610
|
entity |
| Predicate | IDNCode |
P42014
|
FINISHED |
| Object | xn--p1ai |
—
|
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: xn--p1ai | Statement: [.rf, IDNCode, xn--p1ai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IDNCode Context triple: [.rf, IDNCode, xn--p1ai]
-
A.
IDN
Indicates that two entities are identical in value, reference, or identity, representing exact sameness rather than mere similarity.
-
B.
statusOfIndonesia
Indicates the current condition, situation, or standing associated with Indonesia in a given context.
-
C.
GNDID
Indicates a standardized authority identifier linking an entity to its unique record in the Gemeinsame Normdatei (GND) authority file.
-
D.
populationRankInIndonesia
Indicates the relative position of an entity in terms of population size compared to other entities within Indonesia.
-
E.
taxId
Indicates that an entity is associated with a specific taxonomic identifier used to uniquely reference its position in a taxonomic classification system.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda0a13308190a986df86270258a7 |
completed | March 7, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.