Triple
T36935649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Professional Soccer League (indoor) |
E913607
|
entity |
| Predicate | featuredAmericanCities |
P205646
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [National Professional Soccer League (indoor), featuredAmericanCities, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredAmericanCities Context triple: [National Professional Soccer League (indoor), featuredAmericanCities, true]
-
A.
cityOn
Indicates that a city is geographically located on a specified landform, area, or administrative region.
-
B.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
C.
usualCity
Indicates that a city is the standard, typical, or commonly associated city for a given entity (such as a person, organization, or activity).
-
D.
mainCities
Indicates that the related entities are the primary or most important cities associated with a given region, country, or area.
-
E.
cities
Indicates a relationship where one or more entities are identified as cities associated with another entity (such as a country, region, or person).
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.