Triple
T38131640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 9–Emerald at Santo Amaro station |
E952237
|
entity |
| Predicate | connectsLines |
P35490
|
FINISHED |
| Object | Line 9–Emerald |
—
|
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: Line 9–Emerald | Statement: [Line 9–Emerald at Santo Amaro station, connectsLines, Line 9–Emerald]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsLines Context triple: [Line 9–Emerald at Santo Amaro station, connectsLines, Line 9–Emerald]
-
A.
connectedLine
chosen
Indicates that two entities are joined by a continuous line or linear connection.
-
B.
connectsCitiesViaLine
Indicates a relationship where a transportation line directly links two or more cities.
-
C.
connectionLine
Indicates a direct link or path that connects two entities within a system or structure.
-
D.
networkLine
Indicates that there is a connection or linkage between entities within a network structure or system.
-
E.
connectsProvincesAlong
Indicates a relationship where something serves as a link or route joining multiple provinces along a specified path or alignment.
- 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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00119d821c8190874786391b27ef23 |
completed | May 10, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a001143fb6881909ac0ae8bfea04351 |
completed | May 10, 2026, 5:01 a.m. |
Created at: May 3, 2026, 4:21 p.m.