Triple
T16073254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transilien Line H |
E389916
|
entity |
| Predicate | lineLetter |
P5539
|
FINISHED |
| Object | H |
E977999
|
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 Line H, lineLetter, H]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: H Context triple: [Transilien Line H, lineLetter, H]
-
A.
H
H is the commonly used abbreviation for the Conservative Party of Norway, a major center-right political party in the country.
-
B.
H
chosen
H is a light rail service designation used for one of the lines in Denver’s Regional Transportation District (RTD) rail network.
-
C.
H.
H. is an individual whose given name is represented by the initial "H."
-
D.
HE
HE is the Faculty of Health at Aarhus University, responsible for education and research in medical and health sciences.
-
E.
HY
HY is the commonly used abbreviation for the University of Helsinki, a major research university in Finland.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c0390c8190b0da263cccec14e5 |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe484cef08190a3797c91a7025081 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:57 a.m.