Triple
T31072405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-210 |
E791856
|
entity |
| Predicate | lastTwoDigitsMatch |
P170715
|
FINISHED |
| Object | Interstate 10 |
—
|
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: Interstate 10 | Statement: [I-210, lastTwoDigitsMatch, Interstate 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastTwoDigitsMatch Context triple: [I-210, lastTwoDigitsMatch, Interstate 10]
-
A.
lastNumberRepresents
Indicates that the final number in a sequence or identifier encodes or signifies a specific meaning, category, or attribute of that item.
-
B.
secondDigitRepresents
Indicates that the second digit in a numeric or coded value encodes or signifies a specific attribute, category, or meaning within that value.
-
C.
secondLetterMatches
Indicates that the second character of one string or sequence is the same as the second character of another string or sequence.
-
D.
hasTensDigitFive
Indicates that the tens digit of a given number is equal to five.
-
E.
hasTensDigitFour
Indicates that the tens digit of a given number is equal to four.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695b61ac881909521cec5a56588c0 |
completed | May 3, 2026, 12:24 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
| PDg | Predicate description generation | batch_69f6938244648190a553b532387b812c |
completed | May 3, 2026, 12:14 a.m. |
Created at: April 29, 2026, 9:01 p.m.