Triple
T13239264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gironès |
E315236
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Quart
Quart is a municipality in the Gironès comarca of Catalonia, Spain, known for its traditional ceramics and proximity to the city of Girona.
|
E1028933
|
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: Quart | Statement: [Gironès, contains, Quart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quart Context triple: [Gironès, contains, Quart]
-
A.
Quart
Quart is a Python web microframework with an asyncio-based design that provides an ASGI-compatible, Flask-like API for building asynchronous web applications.
-
B.
Squant
Squant is a figure from Wampanoag and related Indigenous mythologies, known primarily as the wife of the culture hero and giant Moshup.
-
C.
Kwinti
Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
-
D.
Quarten
Quarten is a Swiss municipality in the canton of St. Gallen, known for its location on the shores of Lake Walen and its proximity to the Flumserberg ski and hiking area.
-
E.
Cuartero
Cuartero is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines.
- 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: Quart Triple: [Gironès, contains, Quart]
Generated description
Quart is a municipality in the Gironès comarca of Catalonia, Spain, known for its traditional ceramics and proximity to the city of Girona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Quart Target entity description: Quart is a municipality in the Gironès comarca of Catalonia, Spain, known for its traditional ceramics and proximity to the city of Girona.
-
A.
Quart
Quart is a Python web microframework with an asyncio-based design that provides an ASGI-compatible, Flask-like API for building asynchronous web applications.
-
B.
Squant
Squant is a figure from Wampanoag and related Indigenous mythologies, known primarily as the wife of the culture hero and giant Moshup.
-
C.
Kwinti
Kwinti are a Maroon Afro-Surinamese community in Suriname, known for their distinct culture, history of resistance to slavery, and unique linguistic and religious traditions.
-
D.
Quarten
Quarten is a Swiss municipality in the canton of St. Gallen, known for its location on the shores of Lake Walen and its proximity to the Flumserberg ski and hiking area.
-
E.
Cuartero
Cuartero is a rural municipality in the province of Capiz in the Western Visayas region of the Philippines.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff323a3c8190b46b24e69e653105 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7013a368c8190a768f837f6551f5b |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7038563848190ae96538e30ecafd5 |
completed | May 3, 2026, 8:12 a.m. |
Created at: April 9, 2026, 9:23 p.m.