Triple
T16809751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Navan Fort |
E408575
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Macha |
E415499
|
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: Macha | Statement: [Navan Fort, associatedWith, Macha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macha Context triple: [Navan Fort, associatedWith, Macha]
-
A.
Macha
chosen
Macha is a figure from Irish mythology, often associated with sovereignty, war, and horses, and is one of the aspects of the triple goddess Morrígan.
-
B.
Machika
Machika is a reggaeton and Latin trap single by J Balvin, Jeon, and Anitta known for its dark, futuristic sound and multilingual lyrics.
-
C.
Machaon
Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
-
D.
Maho
Maho is a town in Sri Lanka’s North Western Province known as a local commercial and transport hub in the Kurunegala District.
-
E.
Maruca
Maruca is the nickname of María Antonieta Hagenaar, known primarily as the wife of Mexican muralist David Alfaro Siqueiros.
- 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_69d88393905081908d00a86b99996ac8 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b2cf680c8190bcd640570c524918 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b290d8e4819082880444b42ffa43 |
completed | May 10, 2026, 4:30 p.m. |
Created at: April 10, 2026, 5:23 a.m.