Triple
T9051233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quan họ |
E216886
|
entity |
| Predicate | yearInscribed |
P57323
|
FINISHED |
| Object | 2009 |
—
|
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: 2009 | Statement: [Quan họ, yearInscribed, 2009]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearInscribed Context triple: [Quan họ, yearInscribed, 2009]
-
A.
firstInscriptionYear
Indicates the year in which an entity was first inscribed, recorded, or officially entered into a relevant register or list.
-
B.
inscribedOnUNESCOListInYear
chosen
Indicates that an entity was officially added to a UNESCO list (such as World Heritage) in a specified year.
-
C.
inscribedOn
Indicates that text, symbols, or markings are written or carved onto the surface of an object.
-
D.
includedInMonumentYear
Indicates that an entity was incorporated into or recognized as part of a monument in a specific year.
-
E.
inscriptionYearOfFirstElements
Indicates the year in which the first elements of something (such as a site, object, or collection) were officially inscribed or recorded in a designated register or list.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b54423081908d9fd985109e336a |
completed | April 1, 2026, 12:48 a.m. |
| PD | Predicate disambiguation | batch_69cc5ee566b081909e3cdaf551dbd0ec |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.