Triple
T24480646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lough Gur |
E617360
|
entity |
| Predicate | hasArchaeologicalSite |
P1098
|
FINISHED |
| Object |
Carraig Aille stone forts
Carraig Aille stone forts are a pair of early medieval stone ringforts near Lough Gur in County Limerick, Ireland, notable for their well-preserved defensive walls and association with a rich ritual and settlement landscape.
|
E1640609
|
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: Carraig Aille stone forts | Statement: [Lough Gur, hasArchaeologicalSite, Carraig Aille stone forts]
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: Carraig Aille stone forts Triple: [Lough Gur, hasArchaeologicalSite, Carraig Aille stone forts]
Generated description
Carraig Aille stone forts are a pair of early medieval stone ringforts near Lough Gur in County Limerick, Ireland, notable for their well-preserved defensive walls and association with a rich ritual and settlement landscape.
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_69e2d7f3ae788190b683394db15f220e |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29ed5d4388190a8a6ce4079aa8a54 |
completed | April 30, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff84bf77c819088cf7601e5ca7e1e |
completed | May 22, 2026, 6:31 a.m. |
| NEDg | Description generation | batch_6a0ff9cdbbe08190b9c04acc258a32e4 |
completed | May 22, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ffa70e32c81909345bb45de585d83 |
completed | May 22, 2026, 6:40 a.m. |
Created at: April 18, 2026, 2:21 a.m.