Triple
T9382095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Văn Giang District |
E225809
|
entity |
| Predicate | geographicDirectionFromHanoi |
P46910
|
FINISHED |
| Object | southeast |
—
|
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: southeast | Statement: [Văn Giang District, geographicDirectionFromHanoi, southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicDirectionFromHanoi Context triple: [Văn Giang District, geographicDirectionFromHanoi, southeast]
-
A.
distanceFromHanoi
Indicates the spatial distance between a given location and Hanoi.
-
B.
distanceFromCanThoCenter
Indicates the measured spatial distance between a given location and the central point of Can Tho.
-
C.
distanceToHoChiMinhCity
Indicates the physical distance between a given location or entity and Ho Chi Minh City.
-
D.
geographicDirectionWithinCountry
chosen
Indicates that one place lies in a specified cardinal or intercardinal direction relative to another place within the same country.
-
E.
distanceToDaNang_km
Indicates the distance, measured in kilometers, between a given location and Da Nang.
- 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50be52248190bc7cd9deb95a1ef8 |
completed | April 1, 2026, 5:07 p.m. |
| PD | Predicate disambiguation | batch_69cca53bd6ec81909bf403ce304e5c08 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:44 p.m.