Triple
T10741598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luas |
E253338
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Jervis
Jervis is a tram stop on Dublin's Luas light rail system, serving the city center near Jervis Street and the Jervis Shopping Centre.
|
E883834
|
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: Jervis | Statement: [Luas, hasStation, Jervis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jervis Context triple: [Luas, hasStation, Jervis]
-
A.
Jervis
Jervis is a masculine given name of English origin, historically used in various English-speaking countries.
-
B.
Nelson
Nelson is a masculine given name of English origin that has been borne by various notable figures in politics, sports, and the arts.
-
C.
Nelson
Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
-
D.
Nelson
Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
-
E.
Nelson
Nelson is a coastal city at the top of New Zealand’s South Island, known for its arts scene, sunny climate, and access to nearby national parks.
- 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: Jervis Triple: [Luas, hasStation, Jervis]
Generated description
Jervis is a tram stop on Dublin's Luas light rail system, serving the city center near Jervis Street and the Jervis Shopping Centre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jervis Target entity description: Jervis is a tram stop on Dublin's Luas light rail system, serving the city center near Jervis Street and the Jervis Shopping Centre.
-
A.
Jervis
Jervis is a masculine given name of English origin, historically used in various English-speaking countries.
-
B.
Nelson
Nelson is a masculine given name of English origin that has been borne by various notable figures in politics, sports, and the arts.
-
C.
Nelson
Nelson is a common English-language surname borne by numerous notable figures across politics, sports, entertainment, and academia.
-
D.
Nelson
Nelson is a former mill town in Lancashire, England, known for its industrial heritage and location near the Pennine hills.
-
E.
Nelson
Nelson is a coastal city at the top of New Zealand’s South Island, known for its arts scene, sunny climate, and access to nearby national parks.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7104446288190800253f8b652f710 |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de22fc13b0819098caf88328397053 |
completed | April 14, 2026, 11:20 a.m. |
| NEDg | Description generation | batch_69de271e2698819093bba748a0a0db5d |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cdd79608190bad8045939556bc7 |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:15 p.m.