Triple
T1068309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palo Alto station |
E23264
|
entity |
| Predicate | hasUnderpass |
P24311
|
FINISHED |
| Object | pedestrian tunnel |
—
|
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: pedestrian tunnel | Statement: [Palo Alto station, hasUnderpass, pedestrian tunnel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderpass Context triple: [Palo Alto station, hasUnderpass, pedestrian tunnel]
-
A.
hasUndergroundSection
Indicates that an entity includes a portion or segment that is located below ground level.
-
B.
passesUnder
Indicates that one entity moves or extends beneath another entity, typically crossing below it without direct contact.
-
C.
hasUndergroundSlide
Indicates that one entity features or includes an underground slide connecting it to another location or structure.
-
D.
hasUndergroundMine
Indicates that one entity possesses, controls, or contains an underground mine associated with it.
-
E.
hasBasement
Indicates that a building or structure includes a basement level as part of its physical layout.
- 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_69a493ee1f908190992b5f0d1b04459b |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b9e1047481909af1cf8df2a01fff |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b736f1e881909bace735b38c0ade |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b9df0a308190a0d87dcd8afe58bc |
completed | March 1, 2026, 10:12 p.m. |
Created at: March 1, 2026, 7:42 p.m.