Triple
T2234877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thường Tín District |
E49255
|
entity |
| Predicate | hasDevelopmentTrend |
P5318
|
FINISHED |
| Object | urbanization |
—
|
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: urbanization | Statement: [Thường Tín District, hasDevelopmentTrend, urbanization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDevelopmentTrend Context triple: [Thường Tín District, hasDevelopmentTrend, urbanization]
-
A.
hasTrend
chosen
Indicates that something exhibits or is associated with a particular pattern of change or direction over time.
-
B.
hasDevelopmentType
Indicates the type or category of development associated with an entity, such as the nature, form, or stage of its development.
-
C.
hasTendency
Indicates that an entity is inclined or likely to exhibit a particular behavior, characteristic, or outcome under certain conditions.
-
D.
developedOverPeriod
Indicates that something was created, expanded, or progressed continuously throughout a specified span of time.
-
E.
developedThrough
Indicates that something came into existence, was created, or was brought to its current form by means of a specified process, method, or developmental pathway.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09297a481909e8fe6ec645de616 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.