Triple
T30600538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Speech |
E778890
|
entity |
| Predicate | statusInThirdAge |
P195236
|
FINISHED |
| Object | dominant spoken language in the Westlands |
—
|
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: dominant spoken language in the Westlands | Statement: [Common Speech, statusInThirdAge, dominant spoken language in the Westlands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInThirdAge Context triple: [Common Speech, statusInThirdAge, dominant spoken language in the Westlands]
-
A.
thirdAgeStatus
Indicates that an entity has reached or is classified within the “third age,” typically referring to an older or retirement stage of life.
-
B.
statusDuringThirdYear
Indicates the condition or state that an entity has specifically during its third year in a defined period or lifecycle.
-
C.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
D.
ageThreeTerm
Indicates that the subject has an age that falls within a defined "three-term" age category or range (e.g., early/mid/late in a given life stage).
-
E.
standAge
Indicates the age or time duration that a particular stand (e.g., a forest stand or grouped vegetation area) has existed or been established.
- 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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
| PDg | Predicate description generation | batch_69fdb3172b808190b590d7c5be31ebb7 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 29, 2026, 8:25 p.m.