Triple
T4958498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tula |
E111344
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object |
Albino
Albino is a municipality in the Lombardy region of northern Italy, known for its location in the Seriana Valley near Bergamo.
|
E482412
|
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: Albino | Statement: [Tula, hasTwinTown, Albino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albino Context triple: [Tula, hasTwinTown, Albino]
-
A.
Albino
Albino is the given name of Pope John Paul I, the Italian pontiff who led the Catholic Church briefly in 1978.
-
B.
The Gypsy Morph
The Gypsy Morph is a pivotal fantasy novel by Terry Brooks in the Shannara universe, following a group of survivors with a mysterious, magically significant child during the apocalyptic transition from our world to the Four Lands.
-
C.
Blackmoor
Blackmoor is a fictional, fog-shrouded Victorian English village known as the primary horror setting of the 2010 werewolf film "The Wolfman."
-
D.
Black Squirrel
Black Squirrel is the mascot of Haverford College, symbolizing the school's distinctive identity and campus wildlife.
-
E.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
- 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: Albino Triple: [Tula, hasTwinTown, Albino]
Generated description
Albino is a municipality in the Lombardy region of northern Italy, known for its location in the Seriana Valley near Bergamo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Albino Target entity description: Albino is a municipality in the Lombardy region of northern Italy, known for its location in the Seriana Valley near Bergamo.
-
A.
Albino
Albino is the given name of Pope John Paul I, the Italian pontiff who led the Catholic Church briefly in 1978.
-
B.
The Gypsy Morph
The Gypsy Morph is a pivotal fantasy novel by Terry Brooks in the Shannara universe, following a group of survivors with a mysterious, magically significant child during the apocalyptic transition from our world to the Four Lands.
-
C.
Blackmoor
Blackmoor is a fictional, fog-shrouded Victorian English village known as the primary horror setting of the 2010 werewolf film "The Wolfman."
-
D.
Black Squirrel
Black Squirrel is the mascot of Haverford College, symbolizing the school's distinctive identity and campus wildlife.
-
E.
Blanc
Blanc is the surname of Mel Blanc, the legendary American voice actor best known for bringing to life many iconic Looney Tunes characters.
- 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_69bd4418390c8190b7e9766a2512ce55 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd71d834c0819087f3faafdc9b4228 |
completed | March 20, 2026, 4:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81e4ccc4819090223633fdb04eee |
completed | March 21, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69be83c923e08190848def2824a268b8 |
completed | March 21, 2026, 11:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be84d36c74819097a88f29ef409d20 |
completed | March 21, 2026, 11:45 a.m. |
Created at: March 20, 2026, 1:32 p.m.