Triple
T34617548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phibsborough |
E888904
|
entity |
| Predicate | hasTypeOfCrossroads |
P10712
|
FINISHED |
| Object | major road junction |
—
|
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: major road junction | Statement: [Phibsborough, hasTypeOfCrossroads, major road junction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfCrossroads Context triple: [Phibsborough, hasTypeOfCrossroads, major road junction]
-
A.
hasTypeOfCross
Indicates that an entity possesses or is associated with a specific type or style of cross.
-
B.
isLocalCrossroads
Indicates that a location serves as a junction where multiple local routes or streets intersect.
-
C.
hasMajorCrossing
Indicates that one entity has a significant or primary intersection or crossing with another entity.
-
D.
crossingType
chosen
Indicates the specific kind or category of crossing (e.g., how or where one thing passes over, through, or across another).
-
E.
hasCrossStreets
Indicates that a location is situated at or near the intersection of the specified streets.
- 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_69f349d584e08190b40b9f6281ad50c4 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff3e1762d8819089a60e402e682817 |
completed | May 9, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69ff3d8c6f308190a0646b1432752eb8 |
completed | May 9, 2026, 1:58 p.m. |
Created at: May 1, 2026, 2:03 a.m.