Triple
T24344867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas–Fort Worth vs. Houston |
E613610
|
entity |
| Predicate | comparisonMetric |
P102512
|
FINISHED |
| Object | championship titles |
—
|
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: championship titles | Statement: [Dallas–Fort Worth vs. Houston, comparisonMetric, championship titles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparisonMetric Context triple: [Dallas–Fort Worth vs. Houston, comparisonMetric, championship titles]
-
A.
comparisonType
Indicates the specific kind of comparison being made between two or more values or entities (e.g., equality, inequality, ordering, or similarity).
-
B.
comparisonResult
Indicates the outcome of comparing two entities, typically expressing whether one is less than, equal to, or greater than the other.
-
C.
comparisonReason
Indicates that one entity is being compared to another specifically due to a stated reason, motive, or basis for the comparison.
-
D.
comparisonProperty
chosen
Indicates that one entity is being compared to another based on a specific shared property or attribute.
-
E.
comparativeScale
Indicates a relationship where one entity is evaluated relative to another along a shared scale or dimension (such as size, intensity, or degree).
- 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_69e2d7dcc5a08190b53691130d56cbc4 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29328b0288190a580939e8863b0c2 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:58 a.m.