Triple
T26500331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas |
E669401
|
entity |
| Predicate | isNinthLargestCityIn |
P160799
|
FINISHED |
| Object | United States |
—
|
NE NERFINISHED |
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: United States | Statement: [Dallas, isNinthLargestCityIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNinthLargestCityIn Context triple: [Dallas, isNinthLargestCityIn, United States]
-
A.
isSixthLargestCityIn
Indicates that a city is the sixth largest city within the specified region or country, typically by population.
-
B.
isFourthLargestCityIn
Indicates that a city is the fourth most populous or significant city within a specified larger region or country.
-
C.
isThirdLargestCityIn
Indicates that a city is the third largest (typically by population or area) within a specified region or country.
-
D.
isLargestCityIn
Indicates that one city has the greatest population or size compared to all other cities within a specified region or administrative area.
-
E.
isMajorCityIn
Indicates that a city is a primary or significant urban center located within a specified larger region or country.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61359bf448190bca39cbd22a9f023 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f604120e848190b516c29b781d19cc |
completed | May 2, 2026, 2:02 p.m. |
Created at: April 27, 2026, 1:12 a.m.