Triple
T13307730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Gorizia |
E316978
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sagrado
Sagrado is a small municipality in northeastern Italy known for its location near the Isonzo River and its World War I historical sites.
|
E1032127
|
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: Sagrado | Statement: [Province of Gorizia, contains, Sagrado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sagrado Context triple: [Province of Gorizia, contains, Sagrado]
-
A.
La Sagrada Forma
La Sagrada Forma is a celebrated 17th-century Spanish Baroque painting by Claudio Coello depicting the Eucharistic miracle of the Sacred Host.
-
B.
Sacred Round
Sacred Round is the English name for the 260-day Mesoamerican ritual calendar used by the Maya and other pre-Columbian cultures for divination and ceremonial purposes.
-
C.
Sacred
"Sacred" is a crime novel by Dennis Lehane featuring Boston private investigators Patrick Kenzie and Angela Gennaro as they unravel a complex missing-person case.
-
D.
Messa
Messa is a small tributary stream in northern Italy that feeds into the Dora Riparia river within the Po River basin.
-
E.
The Sacred
The Sacred is a horror film known for its supernatural themes and eerie atmosphere.
- 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: Sagrado Triple: [Province of Gorizia, contains, Sagrado]
Generated description
Sagrado is a small municipality in northeastern Italy known for its location near the Isonzo River and its World War I historical sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sagrado Target entity description: Sagrado is a small municipality in northeastern Italy known for its location near the Isonzo River and its World War I historical sites.
-
A.
La Sagrada Forma
La Sagrada Forma is a celebrated 17th-century Spanish Baroque painting by Claudio Coello depicting the Eucharistic miracle of the Sacred Host.
-
B.
Sacred Round
Sacred Round is the English name for the 260-day Mesoamerican ritual calendar used by the Maya and other pre-Columbian cultures for divination and ceremonial purposes.
-
C.
Sacred
"Sacred" is a crime novel by Dennis Lehane featuring Boston private investigators Patrick Kenzie and Angela Gennaro as they unravel a complex missing-person case.
-
D.
Messa
Messa is a small tributary stream in northern Italy that feeds into the Dora Riparia river within the Po River basin.
-
E.
The Sacred
The Sacred is a horror film known for its supernatural themes and eerie atmosphere.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a8be108190bad0021f95ce3a93 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e58cc48190afb46e8394227ab5 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:29 p.m.