Triple
T11962108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Cisterna station |
E284692
|
entity |
| Predicate | positionOnLine4A |
P38325
|
FINISHED |
| Object | western terminus |
—
|
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: western terminus | Statement: [La Cisterna station, positionOnLine4A, western terminus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnLine4A Context triple: [La Cisterna station, positionOnLine4A, western terminus]
-
A.
positionOnLine
chosen
Indicates that one entity occupies a specific location along a defined line or linear path in relation to another.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
D.
positionInProductLine
Indicates the specific place or order an item occupies within a defined product line or series.
-
E.
positionOnGood
Indicates the stance or viewpoint an entity holds regarding a particular good, such as support, opposition, or neutrality.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.