Triple
T8866483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amersfoort Centraal railway station |
E211030
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Amf
Amf is the official station code used to identify Amersfoort Centraal railway station in the Netherlands.
|
E763254
|
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: Amf | Statement: [Amersfoort Centraal railway station, hasStationCode, Amf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amf Context triple: [Amersfoort Centraal railway station, hasStationCode, Amf]
-
A.
AMF
AMF is a core 5G network function responsible for managing user access, registration, mobility, and connection handling between devices and the mobile network.
-
B.
AMF
AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
-
C.
AMPS
AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
-
D.
AMR
AMR is the commonly used abbreviation for the Russian professional ice hockey club Amur Khabarovsk, which competes in the Kontinental Hockey League (KHL).
-
E.
Afmadow
Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
- 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: Amf Triple: [Amersfoort Centraal railway station, hasStationCode, Amf]
Generated description
Amf is the official station code used to identify Amersfoort Centraal railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Amf Target entity description: Amf is the official station code used to identify Amersfoort Centraal railway station in the Netherlands.
-
A.
AMF
AMF is a core 5G network function responsible for managing user access, registration, mobility, and connection handling between devices and the mobile network.
-
B.
AMF
AMF is a regional Arab financial institution that promotes monetary cooperation, economic integration, and development among its member states.
-
C.
AMPS
AMPS (Advanced Mobile Phone System) is an early analog mobile phone standard that was widely used in North America before the transition to digital cellular technologies.
-
D.
AMR
AMR is the commonly used abbreviation for the Russian professional ice hockey club Amur Khabarovsk, which competes in the Kontinental Hockey League (KHL).
-
E.
Afmadow
Afmadow is a significant town in southern Somalia that serves as one of the main urban centers of the Jubaland region.
- 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_69ca838d3c7c8190a849566d5afd2b11 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6106d41081909db710bda8aaf6fd |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0dafdf48190abc1fe1a8397e339 |
completed | April 3, 2026, 11:13 a.m. |
| NEDg | Description generation | batch_69cfa191d7d0819085a6b9bf7fa56067 |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa28b1d1c8190ab4a10ba8fa7259d |
completed | April 3, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:51 p.m.