Triple
T666684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States passport |
E12878
|
entity |
| Predicate | validityPeriodForAdults |
P17420
|
FINISHED |
| Object | 10 years |
—
|
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: 10 years | Statement: [United States passport, validityPeriodForAdults, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: validityPeriodForAdults Context triple: [United States passport, validityPeriodForAdults, 10 years]
-
A.
eligibilityPeriod
Indicates the span of time during which an entity qualifies for or is allowed to receive a particular benefit, service, or status.
-
B.
typicalEligibilityAge
Indicates the usual or standard age at which an entity qualifies for or becomes eligible for a particular status, benefit, or activity.
-
C.
ageLimitAppliesAt
Indicates the specific age or point in time at which an age-related restriction or limit becomes effective for an entity.
-
D.
maturityRange
Indicates the span or limits of maturity (such as age, development stage, or readiness) within which the related entities or conditions are considered applicable.
-
E.
locationPeriod
Indicates that an entity is associated with being at a particular location during a specified time period.
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49ff7ca788190bef58ce46849b9d0 |
completed | March 1, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69a49d16cff881908c8d2c3fe4d1d6fb |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49df19c9481909cc9bc33ed7f011b |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.