Triple
T6672614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leven, Fife |
E151766
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object |
LEVEN
LEVEN is a coastal town in Fife, Scotland, known for its sandy beach, golf courses, and role as a local service and tourism centre.
|
E611597
|
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: LEVEN | Statement: [Leven, Fife, hasPostTown, LEVEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEVEN Context triple: [Leven, Fife, hasPostTown, LEVEN]
-
A.
Levien
Levien is a surname shared by various notable individuals across fields such as literature, film, and business.
-
B.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
C.
Levy
Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
-
D.
Leens
Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
-
E.
lev
The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
- 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: LEVEN Triple: [Leven, Fife, hasPostTown, LEVEN]
Generated description
LEVEN is a coastal town in Fife, Scotland, known for its sandy beach, golf courses, and role as a local service and tourism centre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEVEN Target entity description: LEVEN is a coastal town in Fife, Scotland, known for its sandy beach, golf courses, and role as a local service and tourism centre.
-
A.
Levien
Levien is a surname shared by various notable individuals across fields such as literature, film, and business.
-
B.
LEVD
LEVD is the ICAO airport code assigned to Valladolid Airport in Spain.
-
C.
Levy
Levy is a variant spelling of the name Levi, commonly used as a Jewish surname and sometimes as a given name.
-
D.
Leens
Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
-
E.
lev
The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0cb78b08190923685712cbba5d8 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f79f1718819098d8a6d08bf7f919 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8b1e1f48190bc9058a8a21a4a62 |
completed | March 27, 2026, 9:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f9441d74819098f0639a29fdeb5e |
completed | March 27, 2026, 9:40 p.m. |
Created at: March 27, 2026, 2:03 p.m.