Triple
T30495134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Binh Depot |
E775983
|
entity |
| Predicate | isOperationalBaseFor |
P11708
|
FINISHED |
| Object | Ho Chi Minh City Metro Line 1 |
—
|
NE NERFINISHED |
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: Ho Chi Minh City Metro Line 1 | Statement: [Long Binh Depot, isOperationalBaseFor, Ho Chi Minh City Metro Line 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOperationalBaseFor Context triple: [Long Binh Depot, isOperationalBaseFor, Ho Chi Minh City Metro Line 1]
-
A.
isOperationalBase
Indicates that a location or facility serves as the primary base of operations for an entity.
-
B.
isBaseFor
Indicates that one entity serves as the foundational support, starting point, or underlying basis upon which another entity is built, developed, or depends.
-
C.
operatesBase
chosen
Indicates that an organization or agent runs or manages a primary facility, location, or base of operations.
-
D.
hasSupportBaseIn
Indicates that one entity maintains an operational or organizational base of support located in another entity.
-
E.
hasBaseSystem
Indicates that one entity is founded upon, derived from, or primarily operates using another entity as its underlying system or framework.
- 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_69f22498c5d481908aaea89e6fab8280 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6877a9d6c8190be5a001c93c3197f |
completed | May 2, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f678d2196c8190b9d0d2fcd47cc539 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 8:14 p.m.