Triple
T17767657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriaan |
E443550
|
entity |
| Predicate | meaningGloss |
P128854
|
FINISHED |
| Object | man from Adria |
—
|
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: man from Adria | Statement: [Adriaan, meaningGloss, man from Adria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningGloss Context triple: [Adriaan, meaningGloss, man from Adria]
-
A.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
-
B.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
C.
tegMeaning
Indicates that one entity expresses, conveys, or stands for the meaning or semantic content of another entity.
-
D.
lettersMeaning
Indicates that a set of letters or characters represents, signifies, or conveys a particular meaning or message.
-
E.
duMeaning
Indicates that one entity expresses, conveys, or signifies a particular meaning or sense in relation to another.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fccb9881908923564bf319f3c1 |
completed | April 19, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:11 a.m.