Triple
T29060548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villejuif – Léo Lagrange |
E735515
|
entity |
| Predicate | precedingStationOnLine7 |
P179221
|
FINISHED |
| Object | Le Kremlin–Bicêtre |
—
|
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: Le Kremlin–Bicêtre | Statement: [Villejuif – Léo Lagrange, precedingStationOnLine7, Le Kremlin–Bicêtre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedingStationOnLine7 Context triple: [Villejuif – Léo Lagrange, precedingStationOnLine7, Le Kremlin–Bicêtre]
-
A.
precedingStationOnLineD
Indicates that one station is immediately before another station along subway Line D in the direction of travel.
-
B.
precedingStationOnLine2
Indicates that one station is immediately before another station along the sequence of stops on transit line 2.
-
C.
precedingStationOnLine4
Indicates that one station is immediately before another station in the ordered sequence of stops on transit line 4.
-
D.
precedingStationOnLine10
Indicates that one station is immediately before another station along the route of line 10.
-
E.
previousStationOnLine1
Indicates that one station is the immediately preceding station to another station along transit line 1.
- 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_69f077e85498819088b65186550da8cd |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 28, 2026, 10:15 a.m.