Triple
T27882074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melampitta |
E705114
|
entity |
| Predicate | currentFamilyStatus |
P189425
|
FINISHED |
| Object | placed in its own family Melampittidae |
—
|
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: placed in its own family Melampittidae | Statement: [Melampitta, currentFamilyStatus, placed in its own family Melampittidae]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentFamilyStatus Context triple: [Melampitta, currentFamilyStatus, placed in its own family Melampittidae]
-
A.
macroFamilyStatus
Indicates the broad genealogical relationship between languages or language families at the macro-family level.
-
B.
householdStatus
Indicates the type or condition of a person’s living arrangement within a household, such as their role, membership, or current residency status.
-
C.
familySocialStatus
Indicates the social standing or class position associated with a person’s family within a society.
-
D.
familyRelationshipStatus
Indicates the type and state of a familial relationship that exists between two entities.
-
E.
hasFamilySituation
Indicates the familial status or circumstances that apply to an entity, such as their family composition, responsibilities, or living situation.
- 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_69ef96b39c448190a9b3aa6672a5168f |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69fbc36bcac48190a726b40442c094d1 |
completed | May 6, 2026, 10:40 p.m. |
Created at: April 27, 2026, 6:30 p.m.