Triple
T16455123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nenagh |
E399655
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | An tAonach |
E1214931
|
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: An tAonach | Statement: [Nenagh, nativeName, An tAonach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: An tAonach Context triple: [Nenagh, nativeName, An tAonach]
-
A.
An tAonach
chosen
An tAonach is the Irish-language name for the town of Nenagh in County Tipperary, Ireland.
-
B.
Lattengebirge
Lattengebirge is a small mountain range in the Bavarian Alps of southeastern Germany, known for its distinctive rock formations and scenic hiking trails.
-
C.
Martial Mountains
The Martial Mountains are a rugged mountain range near Ushuaia in Tierra del Fuego, Argentina, known for their glaciers, hiking trails, and panoramic views over the Beagle Channel.
-
D.
Λευκά Όρη
Λευκά Όρη is the rugged White Mountains range in western Crete, Greece, known for its high peaks, deep gorges like Samaria, and dramatic limestone landscapes.
-
E.
Monte Cristo Range
The Monte Cristo Range is a remote mountain range in western Nevada known for its rugged terrain and sparse desert landscape.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d7c84fc8190bcb0df96bdec647e |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005817fa088190a0eb85016fe5afc4 |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:10 a.m.