Triple
T23386366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTM Personenvervoer |
E593892
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | HTM |
—
|
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: HTM | Statement: [HTM Personenvervoer, shortName, HTM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HTM Context triple: [HTM Personenvervoer, shortName, HTM]
-
A.
HTM
chosen
HTM is the public transport company that operates trams and buses in and around The Hague in the Netherlands.
-
B.
HTMP
HTMP is the ICAO airport code assigned to Mpanda Airport in Tanzania.
-
C.
HTML
HTML (HyperText Markup Language) is the standard markup language used to structure and present content on the World Wide Web.
-
D.
HAL (Hypertext Application Language)
HAL (Hypertext Application Language) is a simple, JSON-based hypermedia format that standardizes how to represent and navigate links and embedded resources in RESTful APIs.
-
E.
HMTM
HMTM is a renowned German conservatory in Munich specializing in higher education for music and performing arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a498286c8190abfa381649812cf0 |
completed | April 29, 2026, 6:26 a.m. |
Created at: April 17, 2026, 5:35 p.m.