Triple
T1945994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austroasiatic |
E42054
|
entity |
| Predicate | comparativeLinguistics |
P19895
|
FINISHED |
| Object | subject of extensive reconstruction |
—
|
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: subject of extensive reconstruction | Statement: [Austroasiatic, comparativeLinguistics, subject of extensive reconstruction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: comparativeLinguistics Context triple: [Austroasiatic, comparativeLinguistics, subject of extensive reconstruction]
-
A.
historicalLinguistics
chosen
Indicates the study of how languages change over time and the relationships between earlier and later language forms.
-
B.
hasLinguisticTypology
Indicates a relationship where a language or linguistic system is characterized by a specific typological classification or structural type.
-
C.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
D.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
-
E.
ancientLanguages
Indicates that the related entities are languages that originated in and were used during ancient historical periods.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb32ebae881908f7541301f0198ae |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abaff25a588190bb4cbc8df9fc6d64 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.