Triple
T31026816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ho Chi Minh City Metro |
E790599
|
entity |
| Predicate | line1Includes |
P88054
|
FINISHED |
| Object | elevated sections |
—
|
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: elevated sections | Statement: [Ho Chi Minh City Metro, line1Includes, elevated sections]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: line1Includes Context triple: [Ho Chi Minh City Metro, line1Includes, elevated sections]
-
A.
lineIncludes
chosen
Indicates that a specific line (such as a text line, code line, or route segment) contains or encompasses a given element or component.
-
B.
productIncludes
Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
-
C.
orderIncludes
Indicates that a particular order contains or comprises the specified item(s) or component(s).
-
D.
inscriptionIncludesLine
Indicates that an inscription contains a specific line of text as one of its components.
-
E.
includes
Indicates that one entity contains, encompasses, or has another entity as a part, member, or subset.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6a0ea04888190ac3a813b603bcb5c |
completed | May 3, 2026, 1:12 a.m. |
| PD | Predicate disambiguation | batch_69f69fe463248190aa78128abeab1183 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 8:58 p.m.