Triple
T36379617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 32 (Vietnam) |
E896008
|
entity |
| Predicate | directionFromHanoi |
P196441
|
FINISHED |
| Object | northwest |
—
|
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: northwest | Statement: [National Highway 32 (Vietnam), directionFromHanoi, northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromHanoi Context triple: [National Highway 32 (Vietnam), directionFromHanoi, northwest]
-
A.
distanceFromHanoi
Indicates the spatial distance between a given location and Hanoi.
-
B.
directionFromYangon
Indicates the cardinal or relative compass direction in which one location lies from Yangon.
-
C.
directionFromAntananarivo
Indicates the cardinal or relative direction in which one location lies when measured from Antananarivo.
-
D.
distanceFromCanThoCenter
Indicates the measured spatial distance between a given location and the central point of Can Tho.
-
E.
distanceToHoChiMinhCity
Indicates the physical distance between a given location or entity and Ho Chi Minh City.
- F. None of above. chosen
Provenance (4 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_69f76e51d358819092bbc5f119f49476 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe349879848190bcd77e3cc3470458 |
completed | May 8, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_69fe31e3cf908190b23ebc2f7fe58722 |
completed | May 8, 2026, 6:56 p.m. |
| PDg | Predicate description generation | batch_69fe349739cc8190a21c408208312e6c |
completed | May 8, 2026, 7:08 p.m. |
Created at: May 3, 2026, 4:10 p.m.