Triple
T6774980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemerig |
E155132
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Vera’a |
E603833
|
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: Vera’a | Statement: [Lemerig, closelyRelatedTo, Vera’a]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera’a Context triple: [Lemerig, closelyRelatedTo, Vera’a]
-
A.
Vera’a
chosen
Vera’a is an Oceanic language of northern Vanuatu, spoken on the island of Vanua Lava in the Banks Islands.
-
B.
Vaila
Vaila is a small settlement located within Harku Parish in northern Estonia.
-
C.
Verran
Verran is a former municipality in Trøndelag county, Norway, known for its rural landscapes, forestry, and fjord-side settlements.
-
D.
Velda
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
-
E.
Novilara
Novilara is an archaeological site and locality in the Marche region of Italy, known for its ancient Picene culture remains and notable funerary stelae.
- 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_69c68812ef7c819099369f51febb725c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d24ddaf08190baffbff991eeb458 |
completed | March 27, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ca48d88190b9f47b23264d4264 |
completed | March 27, 2026, 11:29 p.m. |
Created at: March 27, 2026, 2:13 p.m.