Triple
T25128665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universitate |
E629462
|
entity |
| Predicate | precededByStationOnLineM2 |
P97324
|
FINISHED |
| Object | Piața Romană |
—
|
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: Piața Romană | Statement: [Universitate, precededByStationOnLineM2, Piața Romană]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByStationOnLineM2 Context triple: [Universitate, precededByStationOnLineM2, Piața Romană]
-
A.
precedingStationOnLine2
Indicates that one station is immediately before another station along the sequence of stops on transit line 2.
-
B.
adjacentStationOnLineM2
chosen
Indicates that two stations are directly next to each other as consecutive stops on metro line M2.
-
C.
precededByStationOnLine5
Indicates that one station directly comes before another station in the ordered sequence of stations on line 5.
-
D.
hasAdjacentStationOnLineM2
Indicates that two stations are directly next to each other as consecutive stops on metro line M2.
-
E.
precedingStationOnLine4
Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
- 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_69e2ff3288048190bd82c3b7f7bd0e62 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 6:28 a.m.