Triple
T14029554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gugulethu |
E337550
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Athlone |
E337553
|
NE FINISHED |
How this triple was built (2 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: Athlone | Statement: [Gugulethu, near, Athlone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Athlone Context triple: [Gugulethu, near, Athlone]
-
A.
Athlone
Athlone is a major Irish town in the Midlands, known for its strategic location, historic castle, and role as a key crossing point between the east and west of Ireland.
-
B.
Athlone
chosen
Athlone is a residential suburb of Cape Town, South Africa, known for its diverse community and significant role in the country’s anti-apartheid history.
-
C.
Fermoy
Fermoy is a market town on the River Blackwater in southern Ireland known historically as a garrison town and regional commercial center.
-
D.
Portlaoise
Portlaoise is a major town in County Laois, Ireland, serving as an important regional commercial and transport hub.
-
E.
Cahir
Cahir is a historic town in County Tipperary, Ireland, best known for its well-preserved medieval castle on the River Suir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fa9f8248190930954d609dee5f1 |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd949b9fc481908c7717c412e05fac |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 9, 2026, 10:20 p.m.