Triple
T3479992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyr |
E73465
|
entity |
| Predicate | mentionedIn |
P831
|
FINISHED |
| Object | Lokasenna |
E359855
|
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: Lokasenna | Statement: [Tyr, mentionedIn, Lokasenna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lokasenna Context triple: [Tyr, mentionedIn, Lokasenna]
-
A.
Lokasenna
chosen
Lokasenna is an Old Norse mythological poem in which the trickster god Loki insults and exposes the secrets of the other gods during a feast.
-
B.
Lakon
Lakon is an Oceanic language spoken on the island of Gaua in northern Vanuatu.
-
C.
Mudaliyandan
Mudaliyandan was a prominent disciple and close associate of the Sri Vaishnava philosopher-saint Ramanujacharya, known for his role in organizing and administering temple and community affairs.
-
D.
Mitanni
Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
-
E.
Gwarinpa
Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
- 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_69ad85b3c9b08190857cae74c7f36da9 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb7461708190898002fbd1191f34 |
completed | March 8, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3681b30b48190918d2821a8383229 |
completed | March 13, 2026, 1:27 a.m. |
Created at: March 8, 2026, 3:17 p.m.