Triple
T1847260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | March, Cambridgeshire |
E41310
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object |
MARCH
MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
|
E206129
|
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: MARCH | Statement: [March, Cambridgeshire, postTown, MARCH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MARCH Context triple: [March, Cambridgeshire, postTown, MARCH]
-
A.
April
April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
-
B.
Maio
Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
-
C.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
-
D.
February
February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
-
E.
Juin
Juin is the surname of Alphonse Juin, a prominent French general and Marshal of France during World War II.
- 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: MARCH Triple: [March, Cambridgeshire, postTown, MARCH]
Generated description
MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MARCH Target entity description: MARCH is a market town and civil parish in the Fenland district of Cambridgeshire, England, known historically as an important railway and river port.
-
A.
April
April is a spring month in the Gregorian calendar often associated with mild weather and the blooming of many flowers.
-
B.
Maio
Maio is one of the main islands of Cape Verde, known for its quiet beaches, salt flats, and relatively flat, arid landscape.
-
C.
May
May is a common English surname borne by numerous individuals, including former UK Prime Minister Theresa May.
-
D.
February
February is the second month of the year in both the Julian and Gregorian calendars, typically having 28 days and 29 in leap years.
-
E.
Juin
Juin is the surname of Alphonse Juin, a prominent French general and Marshal of France during World War II.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb052e0a8819091bbc0da0e0a20fb |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c2e0a081909f521e6f73956239 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaf1917c819090eac27de62494ca |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbba64588190aa0ebd2b6f67afa7 |
completed | March 8, 2026, 7:19 p.m. |
Created at: March 4, 2026, 7:33 p.m.