Triple
T19975308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heemstedestraat |
E493674
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
HDS
HDS is the station code for Heemstedestraat, a metro station in Amsterdam, Netherlands.
|
E1404285
|
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: HDS | Statement: [Heemstedestraat, hasStationCode, HDS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HDS Context triple: [Heemstedestraat, hasStationCode, HDS]
-
A.
HDS
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
-
B.
HDA
HDA is the ICAO airline designator assigned to Cathay Dragon, the former Hong Kong-based regional carrier of the Cathay Pacific Group.
-
C.
Hdi
Hdi is a Central Chadic language spoken primarily in northern Cameroon and nearby areas of Nigeria.
-
D.
HDX
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
-
E.
HD1
HD1 was a French television channel that later became known as TF1 Séries Films, focusing on series and film programming.
- 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: HDS Triple: [Heemstedestraat, hasStationCode, HDS]
Generated description
HDS is the station code for Heemstedestraat, a metro station in Amsterdam, Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HDS Target entity description: HDS is the station code for Heemstedestraat, a metro station in Amsterdam, Netherlands.
-
A.
HDS
HDS is a high-dispersion spectrograph used on the Subaru Telescope for detailed spectroscopic studies of astronomical objects.
-
B.
HDA
HDA is the ICAO airline designator assigned to Cathay Dragon, the former Hong Kong-based regional carrier of the Cathay Pacific Group.
-
C.
Hdi
Hdi is a Central Chadic language spoken primarily in northern Cameroon and nearby areas of Nigeria.
-
D.
HDX
HDX is an open humanitarian data platform that enables organizations to share, find, and use data for crisis preparedness and response.
-
E.
HD1
HD1 was a French television channel that later became known as TF1 Séries Films, focusing on series and film programming.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65bcca5088190b523584d11799400 |
completed | April 20, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07fdd7a0d08190b85dcc29c28eb7bd |
completed | May 16, 2026, 5:17 a.m. |
| NEDg | Description generation | batch_6a07feb28eec81908a8e33a706cf9d9b |
completed | May 16, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ff2e34608190a27995f6400c153a |
completed | May 16, 2026, 5:22 a.m. |
Created at: April 11, 2026, 3:24 p.m.