Triple
T9647836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larbert |
E233250
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object |
LARBERT
LARBERT is a small town in the Falkirk council area of central Scotland, known historically for its foundries and proximity to major transport links.
|
E811734
|
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: LARBERT | Statement: [Larbert, postTown, LARBERT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LARBERT Context triple: [Larbert, postTown, LARBERT]
-
A.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
B.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
C.
Lampert
Lampert is a surname most notably associated with American billionaire investor and former Sears Holdings CEO Edward Lampert.
-
D.
Ruländer
Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
-
E.
Wieck
Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
- 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: LARBERT Triple: [Larbert, postTown, LARBERT]
Generated description
LARBERT is a small town in the Falkirk council area of central Scotland, known historically for its foundries and proximity to major transport links.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LARBERT Target entity description: LARBERT is a small town in the Falkirk council area of central Scotland, known historically for its foundries and proximity to major transport links.
-
A.
Labouret
Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
-
B.
Lusser
Lusser is a German surname most notably associated with engineer Robert Lusser, known for his contributions to aeronautics and reliability engineering.
-
C.
Lampert
Lampert is a surname most notably associated with American billionaire investor and former Sears Holdings CEO Edward Lampert.
-
D.
Ruländer
Ruländer is a traditional German name for the Pinot Gris grape variety, commonly used for rich, full-bodied white wines.
-
E.
Wieck
Wieck is a German surname most notably associated with Friedrich Wieck, the influential 19th-century piano teacher and father of composer Clara Schumann.
- 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_69ca848b31648190b57aa55da20285be |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b826ff08190a972bdef84405f08 |
completed | April 1, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1825dc8e08190bfc3475cd2e694ba |
completed | April 4, 2026, 9:27 p.m. |
| NEDg | Description generation | batch_69d1837ec5548190a06458227fec2237 |
completed | April 4, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d183ea286c8190979d1429729f8abd |
completed | April 4, 2026, 9:34 p.m. |
Created at: March 30, 2026, 8:13 p.m.