Triple
T22628278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben Dinh |
E558480
|
entity |
| Predicate | differenceFromBenDuoc |
P74132
|
FINISHED |
| Object | more commercial and tourist-oriented |
—
|
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: more commercial and tourist-oriented | Statement: [Ben Dinh, differenceFromBenDuoc, more commercial and tourist-oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromBenDuoc Context triple: [Ben Dinh, differenceFromBenDuoc, more commercial and tourist-oriented]
-
A.
differIn
Indicates that two entities are not the same in at least one specified aspect, attribute, or value.
-
B.
differenceDescription
chosen
Indicates a textual explanation that characterizes how two entities differ from each other.
-
C.
differenceFromStates
Indicates that one state or condition is distinct from, or deviates in some way from, another state or condition.
-
D.
differenceFromUDP
Indicates a relationship where something is characterized or measured in terms of how it differs from UDP (User Datagram Protocol) in behavior, properties, or implementation.
-
E.
designDifferenceFrom
Indicates a relationship where one design is distinguished from another by specific differing features, characteristics, or structure.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f16e3ed1d48190a093013d829901b9 |
completed | April 29, 2026, 2:34 a.m. |
| PD | Predicate disambiguation | batch_69ee62855558819080da946c7b35a160 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 3:02 p.m.