Triple
T27720346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quemchi |
E698935
|
entity |
| Predicate | demographicsYear |
P32332
|
FINISHED |
| Object | 2017 |
—
|
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: 2017 | Statement: [Quemchi, demographicsYear, 2017]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: demographicsYear Context triple: [Quemchi, demographicsYear, 2017]
-
A.
populationCensusYear
Indicates the specific year in which an official population census was conducted or recorded for an entity.
-
B.
demographics
Indicates the relationship of providing or characterizing statistical information about a population’s attributes, such as age, gender, income, or education.
-
C.
basedOnCensusYear
chosen
Indicates that something (such as data, a decision, or a classification) is derived from or determined using information from a specific census year.
-
D.
populationAge
Indicates the age or age distribution of a population associated with an entity.
-
E.
demographicsSource
Indicates the origin or provider from which demographic information about an entity is obtained.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 27, 2026, 3:06 p.m.