Triple
T5022561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull, Massachusetts |
E112889
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object |
Kenberma
Kenberma is a coastal village neighborhood within the town of Hull, Massachusetts, known for its residential community and proximity to Nantasket Beach.
|
E486849
|
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: Kenberma | Statement: [Hull, Massachusetts, hasVillage, Kenberma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenberma Context triple: [Hull, Massachusetts, hasVillage, Kenberma]
-
A.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
B.
Kueyen
Kueyen is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory on Cerro Paranal in Chile.
-
C.
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.
-
D.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
E.
Kandan
Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
- 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: Kenberma Triple: [Hull, Massachusetts, hasVillage, Kenberma]
Generated description
Kenberma is a coastal village neighborhood within the town of Hull, Massachusetts, known for its residential community and proximity to Nantasket Beach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kenberma Target entity description: Kenberma is a coastal village neighborhood within the town of Hull, Massachusetts, known for its residential community and proximity to Nantasket Beach.
-
A.
Kogarah
Kogarah is a suburb in southern Sydney, New South Wales, Australia, known as a residential and commercial hub in the St George area.
-
B.
Kueyen
Kueyen is one of the four 8.2-meter Unit Telescopes of the Very Large Telescope array operated by the European Southern Observatory on Cerro Paranal in Chile.
-
C.
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.
-
D.
Martaban
Martaban is a historic port city in southern Myanmar that once served as the capital of the Mon kingdom and a key hub in regional maritime trade.
-
E.
Kandan
Kandan is a locality within Beijing’s Fengtai District, known primarily as a residential and urban neighborhood area.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd73670578819099a56112950708a8 |
completed | March 20, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9282e2b08190abfa2c3e450957d4 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be94965c4c8190b91be72f483d4b29 |
completed | March 21, 2026, 12:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9527906481909d6a42a262a67c31 |
completed | March 21, 2026, 12:55 p.m. |
Created at: March 20, 2026, 1:36 p.m.