Triple
T23060254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amis people |
E574277
|
entity |
| Predicate | populationRankInTaiwanIndigenous |
P1169
|
FINISHED |
| Object | largest |
—
|
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: largest | Statement: [Amis people, populationRankInTaiwanIndigenous, largest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInTaiwanIndigenous Context triple: [Amis people, populationRankInTaiwanIndigenous, largest]
-
A.
hasAreaRankInTaiwan
Indicates the relative ranking of an entity by its area size compared to other entities within Taiwan.
-
B.
populationRankInIndonesia
Indicates the relative position of an entity in terms of population size compared to other entities within Indonesia.
-
C.
populationRankAfter
Indicates the relative position of an entity in a population-based ordering that comes after another entity’s population rank.
-
D.
populationRank
chosen
Indicates the relative position of an entity in an ordered list based on the size of its population.
-
E.
areaRankInMalaysia
Indicates the relative position of an entity in a size-based ranking by area within Malaysia.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1899f359081909e89e19db3833a3d |
completed | April 29, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69ef89d5f71881908b9f9d0c8aab278c |
completed | April 27, 2026, 4:07 p.m. |
Created at: April 17, 2026, 3:55 p.m.