Triple
T6536810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipswich railway station |
E168183
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object |
IPS
IPS is the National Rail station code used to identify Ipswich railway station in Suffolk, England.
|
E605747
|
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: IPS | Statement: [Ipswich railway station, stationCode, IPS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IPS Context triple: [Ipswich railway station, stationCode, IPS]
-
A.
IPS
IPS is the premier all-India civil service responsible for leadership and command of police forces and law enforcement agencies across India.
-
B.
IPS
IPS is a professional society within the IEEE focused on the science and technology of light, including photonics and optoelectronics.
-
C.
IS
IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
-
D.
IS
IS is the commonly used abbreviation for the extremist militant group known as the Islamic State.
-
E.
IES
IES is the research, evaluation, and statistics arm of the U.S. Department of Education that provides rigorous evidence to inform education policy and practice.
- 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: IPS Triple: [Ipswich railway station, stationCode, IPS]
Generated description
IPS is the National Rail station code used to identify Ipswich railway station in Suffolk, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IPS Target entity description: IPS is the National Rail station code used to identify Ipswich railway station in Suffolk, England.
-
A.
IPS
IPS is the premier all-India civil service responsible for leadership and command of police forces and law enforcement agencies across India.
-
B.
IPS
IPS is a professional society within the IEEE focused on the science and technology of light, including photonics and optoelectronics.
-
C.
IS
IS is the two-letter ISO 3166-1 alpha-2 country code representing Iceland in international standards and systems.
-
D.
IS
IS is the commonly used abbreviation for the extremist militant group known as the Islamic State.
-
E.
IES
IES is the research, evaluation, and statistics arm of the U.S. Department of Education that provides rigorous evidence to inform education policy and practice.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6add33acc8190bb0a9531648198f2 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d53616848190835d9f02bd8e2dbf |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d6dad26481908ac4bc0ed703091b |
completed | March 27, 2026, 7:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d833d84c819083ffc81bda7d35d4 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:49 p.m.