Triple
T3384383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eindhoven Strijp-S |
E71260
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Esv
Esv is the official Dutch railway station code used to identify Eindhoven Strijp-S station in the Netherlands.
|
E352786
|
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: Esv | Statement: [Eindhoven Strijp-S, hasStationCode, Esv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esv Context triple: [Eindhoven Strijp-S, hasStationCode, Esv]
-
A.
Egvekinot
Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
-
B.
Teves
Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
-
C.
Evind
Evind is the given name of P. E. Svinhufvud, a prominent Finnish statesman and third President of Finland.
-
D.
EGVA
EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
-
E.
ESVSB
ESVSB is the standard abbreviation for the ESV Study Bible, a widely used evangelical Christian study Bible based on the English Standard Version translation.
- 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: Esv Triple: [Eindhoven Strijp-S, hasStationCode, Esv]
Generated description
Esv is the official Dutch railway station code used to identify Eindhoven Strijp-S station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Esv Target entity description: Esv is the official Dutch railway station code used to identify Eindhoven Strijp-S station in the Netherlands.
-
A.
Egvekinot
Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
-
B.
Teves
Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
-
C.
Evind
Evind is the given name of P. E. Svinhufvud, a prominent Finnish statesman and third President of Finland.
-
D.
EGVA
EGVA is the ICAO airport code for RAF Fairford, a Royal Air Force station in Gloucestershire, England used primarily by the United States Air Force for bomber and airlift operations.
-
E.
ESVSB
ESVSB is the standard abbreviation for the ESV Study Bible, a widely used evangelical Christian study Bible based on the English Standard Version translation.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5ec85d08190b28110157c39435f |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33452d79081909bf6955289e0dece |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334f75e708190aed8b388c9ea55d2 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3359ab56881908e247ba54c7dd6c7 |
completed | March 12, 2026, 9:52 p.m. |
Created at: March 8, 2026, 3:14 p.m.