Triple
T31603064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binh Tan District, Ho Chi Minh City |
E806398
|
entity |
| Predicate | urbanChallenge |
P174959
|
FINISHED |
| Object | pressure on infrastructure |
—
|
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: pressure on infrastructure | Statement: [Binh Tan District, Ho Chi Minh City, urbanChallenge, pressure on infrastructure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: urbanChallenge Context triple: [Binh Tan District, Ho Chi Minh City, urbanChallenge, pressure on infrastructure]
-
A.
drivingChallenge
Indicates a situation in which driving is made difficult or demanding due to conditions, obstacles, or required skills.
-
B.
transportChallenge
Indicates a situation where transporting something or someone is difficult, obstructed, or requires special effort or resources.
-
C.
viaCity
Indicates that a route, journey, or connection passes through or includes a specified city as an intermediate point.
-
D.
roadMobilityAdvantage
Indicates that one entity has a superior ability or advantage in moving or traveling via roads compared to another entity.
-
E.
cityWide
Indicates that something applies to, affects, or extends across an entire 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_69f348d54ccc8190a03b5df9a2b40b25 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6cd9bae8c8190b528641499162a75 |
completed | May 3, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cd119cac8190a0b3ebe8b9c742c2 |
completed | May 3, 2026, 4:20 a.m. |
Created at: April 30, 2026, 10:33 p.m.