Triple
T37625759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doai Station |
E936202
|
entity |
| Predicate | numberOfStairsToUndergroundPlatform |
P1275
|
FINISHED |
| Object | 486 |
—
|
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: 486 | Statement: [Doai Station, numberOfStairsToUndergroundPlatform, 486]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStairsToUndergroundPlatform Context triple: [Doai Station, numberOfStairsToUndergroundPlatform, 486]
-
A.
numberOfStairs
chosen
Indicates the quantity of stairs associated with or present in a given context or structure.
-
B.
numberOfStoreysUnderground
Indicates the count of levels or storeys of a structure that are located below ground level.
-
C.
numberOfUndergroundStations
Indicates the total count of underground (subway/metro) stations associated with a given entity.
-
D.
hasNearbyUndergroundStationEntrance
Indicates that one entity is located close to an entrance of an underground (subway/metro) station.
-
E.
hasUndergroundLevel
Indicates that one entity possesses or includes a level, floor, or section that is located below ground level.
- 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_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.