Triple
T5567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago, Illinois, United States |
E108
|
entity |
| Predicate | populationRankInIllinois |
P163
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Chicago, Illinois, United States, populationRankInIllinois, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationRankInIllinois Context triple: [Chicago, Illinois, United States, populationRankInIllinois, 1]
-
A.
medianHouseholdIncomeRank
Indicates the relative position of a household’s income compared to others, typically ordered from lowest to highest median income.
-
B.
isLargestCityIn
chosen
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
C.
largestCity
Indicates that one city is the most populous or significant urban center within a specified region or entity.
-
D.
population
Indicates the total number of individuals living in or present within a specified area or group.
-
E.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
- 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23c24b3d08190a714126292fd5479 |
completed | Feb. 28, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69a23998af288190855f0456740cbd51 |
completed | Feb. 28, 2026, 12:40 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.