Triple
T37625758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doai Station |
E936202
|
entity |
| Predicate | undergroundPlatformDepth |
P43725
|
FINISHED |
| Object | approximately 70 m below ground |
—
|
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: approximately 70 m below ground | Statement: [Doai Station, undergroundPlatformDepth, approximately 70 m below ground]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: undergroundPlatformDepth Context triple: [Doai Station, undergroundPlatformDepth, approximately 70 m below ground]
-
A.
hasUndergroundDepth
chosen
Indicates that one entity has a specified vertical extent or depth located below the ground surface relative to another reference or context.
-
B.
hasUndergroundLevel
Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
-
C.
operatedUnderground
Indicates that an entity conducted its activities or operations beneath the surface of the ground, rather than at or above ground level.
-
D.
hasUndergroundSection
Indicates that an entity includes a portion or segment that is located below ground level.
-
E.
hasUndergroundVestibule
Indicates that one entity possesses or includes an underground vestibule space connected to it.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: May 3, 2026, 4:18 p.m.