Triple
T4090171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 陳 |
E87685
|
entity |
| Predicate | positionInHundredFamilySurnames |
P29278
|
FINISHED |
| Object | 10 |
—
|
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 | Statement: [陳, positionInHundredFamilySurnames, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInHundredFamilySurnames Context triple: [陳, positionInHundredFamilySurnames, 10]
-
A.
isAmongMostCommonSurnamesIn
chosen
Indicates that a surname ranks within the group of most frequently occurring surnames in a specified region or population.
-
B.
namePosition
Indicates the positional or ordering relationship of a name within a sequence or structured context (e.g., first, last, or specific index).
-
C.
familyNameCategory
Indicates that an entity is associated with a particular classification or grouping based on its family name.
-
D.
surnamePortmanteauOf
Indicates that one surname is formed as a portmanteau by blending parts of two or more other surnames.
-
E.
usedAsSurnameInCountry
Indicates that a particular name functions as a family surname within the specified country.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefcab0a1c8190a1b0ca48ebc95b31 |
completed | March 9, 2026, 5 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.