Triple
T17314299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoek van Holland Haven |
E420380
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Hld
Hld is the official station code for Hoek van Holland Haven railway station in the Netherlands.
|
E1261988
|
NE FINISHED |
How this triple was built (4 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: Hld | Statement: [Hoek van Holland Haven, hasStationCode, Hld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hld Context triple: [Hoek van Holland Haven, hasStationCode, Hld]
-
A.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
B.
HL
HL is the vehicle registration code used on license plates for the German city of Lübeck.
-
C.
H-D
H-D is the commonly used abbreviation for Harley-Davidson, the iconic American motorcycle manufacturer known for heavyweight cruiser bikes and a strong biker subculture.
-
D.
HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
-
E.
Hadl
Hadl is the surname of John Hadl, a notable American football quarterback who played primarily for the San Diego Chargers in the AFL and NFL.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hld Triple: [Hoek van Holland Haven, hasStationCode, Hld]
Generated description
Hld is the official station code for Hoek van Holland Haven railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hld Target entity description: Hld is the official station code for Hoek van Holland Haven railway station in the Netherlands.
-
A.
HOL
HOL is the commonly used abbreviation for the Hall of Languages, a historic academic building on the Syracuse University campus.
-
B.
HL
HL is the vehicle registration code used on license plates for the German city of Lübeck.
-
C.
H-D
H-D is the commonly used abbreviation for Harley-Davidson, the iconic American motorcycle manufacturer known for heavyweight cruiser bikes and a strong biker subculture.
-
D.
HLU
HLU is the National Rail station code for Helensburgh Upper railway station in Argyll and Bute, Scotland.
-
E.
Hadl
Hadl is the surname of John Hadl, a notable American football quarterback who played primarily for the San Diego Chargers in the AFL and NFL.
- F. None of above. chosen
Provenance (5 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399b4dcc8190996d79d04ba88795 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e6e830819097b33d6b99232727 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a01853590d081908f6523c55e4f610d |
completed | May 11, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01860e39788190bbf5ca5188352d95 |
completed | May 11, 2026, 7:32 a.m. |
Created at: April 10, 2026, 5:43 a.m.