Triple
T421677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albany–Rensselaer rail bridge |
E8115
|
entity |
| Predicate | hasGeographicRelation |
P3227
|
FINISHED |
| Object | east of downtown Albany |
—
|
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: east of downtown Albany | Statement: [Albany–Rensselaer rail bridge, hasGeographicRelation, east of downtown Albany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicRelation Context triple: [Albany–Rensselaer rail bridge, hasGeographicRelation, east of downtown Albany]
-
A.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
B.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
C.
mapsToGeopoliticalEntity
Indicates a relationship where something is associated with, corresponds to, or is assigned to a specific geopolitical entity such as a country, region, or territory.
-
D.
datumRelation
Indicates a relationship where one piece of data is connected to, derived from, or otherwise associated with another piece of data.
-
E.
sharesLandmassWith
Indicates that two geographic entities are located on the same continuous landmass or continent.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec0e9dc81908c08b209ce5278ef |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd3b948819097d96c73d0a0f699 |
completed | Feb. 28, 2026, 1:29 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.