Triple
T9914987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Paris–Nord line H |
E185845
|
entity |
| Predicate | lineNumber |
P1864
|
FINISHED |
| Object | H |
E496069
|
NE 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: H | Statement: [Transilien Paris–Nord line H, lineNumber, H]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H Context triple: [Transilien Paris–Nord line H, lineNumber, H]
-
A.
H
chosen
H is the commonly used abbreviation for the Conservative Party of Norway, a major center-right political party in the country.
-
B.
H.
H. is an individual whose given name is represented by the initial "H."
-
C.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
-
D.
HL
HL is the vehicle registration code used on license plates for the German city of Lübeck.
-
E.
HB
HB is the second-generation Holden Torana small family car series produced in the late 1960s, known for introducing more modern styling and engineering updates over its predecessor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca829b45f481909040f7b99a1976ed |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb53d5be48190ab47e152760d5e2c |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20dd82edc8190b405a3969864af77 |
completed | April 5, 2026, 7:23 a.m. |
Created at: March 30, 2026, 8:41 p.m.