Triple
T34514368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Line (Luas) |
E886107
|
entity |
| Predicate | formerUseOfAlignment |
P201626
|
FINISHED |
| Object | Harcourt Street railway line |
—
|
NE NERFINISHED |
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: Harcourt Street railway line | Statement: [Green Line (Luas), formerUseOfAlignment, Harcourt Street railway line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formerUseOfAlignment Context triple: [Green Line (Luas), formerUseOfAlignment, Harcourt Street railway line]
-
A.
usedByAlignment
Indicates that something is utilized or applied by a particular alignment, orientation, or positioning configuration.
-
B.
alignmentUsage
Indicates how an entity’s alignment, orientation, or positioning is applied or utilized in relation to another entity or context.
-
C.
previousAlignment
Indicates that one entity’s alignment or orientation occurred earlier in time than another’s.
-
D.
originallyAlignedWith
Indicates that an entity was initially in agreement, support, or association with another entity or group, regardless of any later changes in stance or affiliation.
-
E.
historicalAlignmentOf
Indicates a relationship where entities share or are compared based on their positions, roles, or associations within a specific historical context or period.
- 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_69f349ccc290819089d8e82698e53cb6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a000efe971081909de03f875a7ad6cc |
completed | May 10, 2026, 4:52 a.m. |
| PD | Predicate disambiguation | batch_6a000c4ffe788190a5757af60aadd9f3 |
completed | May 10, 2026, 4:40 a.m. |
| PDg | Predicate description generation | batch_6a000efdbe948190b4bfa9871aa1a7ee |
completed | May 10, 2026, 4:52 a.m. |
Created at: May 1, 2026, 2:01 a.m.