Triple
T7865522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meliphagidae |
E182603
|
entity |
| Predicate | includesGenus |
P1393
|
FINISHED |
| Object |
Lichmera
Lichmera is a genus of honeyeaters, small nectar-feeding passerine birds native mainly to Australasia and surrounding regions.
|
E701027
|
NE FINISHED |
How this triple was built (4 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: Lichmera | Statement: [Meliphagidae, includesGenus, Lichmera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lichmera Context triple: [Meliphagidae, includesGenus, Lichmera]
-
A.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
B.
Soligalich
Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
-
C.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
D.
Vytegra
Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
-
E.
Damkina
Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Lichmera Triple: [Meliphagidae, includesGenus, Lichmera]
Generated description
Lichmera is a genus of honeyeaters, small nectar-feeding passerine birds native mainly to Australasia and surrounding regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lichmera Target entity description: Lichmera is a genus of honeyeaters, small nectar-feeding passerine birds native mainly to Australasia and surrounding regions.
-
A.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
-
B.
Soligalich
Soligalich is a historic Russian town known for its preserved 18th–19th century architecture and location along the Kostroma River in Kostroma Oblast.
-
C.
Lechmere
Lechmere is a Massachusetts Bay Transportation Authority (MBTA) light rail station in Cambridge, Massachusetts, serving the Green Line.
-
D.
Vytegra
Vytegra is a small town in northwestern Russia known as a regional center near Lake Onega and the White Sea–Baltic Canal.
-
E.
Damkina
Damkina is a Mesopotamian earth and mother goddess, best known as the consort of the god Enki (Ea) and mother of the Babylonian chief god Marduk.
- F. None of above. chosen
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_69ca82894d9081908a832bfce71a4714 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3844eacc81908f8e1e5fc4dafec8 |
completed | March 31, 2026, 2:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5b5908a88190bc00f0d6dbde0b58 |
completed | March 31, 2026, 5:27 a.m. |
| NEDg | Description generation | batch_69cb762fda2c81908ed508e12cabb938 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbbf706e888190bfd08d9d78945c49 |
completed | March 31, 2026, 12:34 p.m. |
Created at: March 30, 2026, 4:54 p.m.