Triple
T9611848
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Thaddeus Monastery |
E232119
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Chaldoran
Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
|
E810940
|
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: Chaldoran | Statement: [Saint Thaddeus Monastery, locatedNear, Chaldoran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chaldoran Context triple: [Saint Thaddeus Monastery, locatedNear, Chaldoran]
-
A.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
B.
Terrigal
Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
-
C.
Rehling
Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Chandor
Chandor is the surname of American filmmaker J. C. Chandor, known for directing films such as "Margin Call" and "A Most Violent Year."
-
E.
Tanneron
Tanneron is a commune in southeastern France’s Var department, known for its hilly landscapes and extensive mimosa forests overlooking the Mediterranean hinterland.
- 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: Chaldoran Triple: [Saint Thaddeus Monastery, locatedNear, Chaldoran]
Generated description
Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chaldoran Target entity description: Chaldoran is a district in Iran’s West Azerbaijan Province, known for its historical significance and proximity to important religious and cultural sites.
-
A.
Tynaarlo
Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
-
B.
Terrigal
Terrigal is a popular coastal town in New South Wales, Australia, known for its surf beaches, scenic headlands, and vibrant holiday atmosphere.
-
C.
Rehling
Rehling is a small municipality in the Bavarian region of Swabia in southern Germany.
-
D.
Chandor
Chandor is the surname of American filmmaker J. C. Chandor, known for directing films such as "Margin Call" and "A Most Violent Year."
-
E.
Tanneron
Tanneron is a commune in southeastern France’s Var department, known for its hilly landscapes and extensive mimosa forests overlooking the Mediterranean hinterland.
- 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_69ca8485a90c819094fe40b42fde9d70 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a87764481909ab96cd2ab96d14b |
completed | April 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d179513f9081909bcd9a456c640ba3 |
completed | April 4, 2026, 8:49 p.m. |
| NEDg | Description generation | batch_69d17b87ec6c8190a265bdbb6855dca5 |
completed | April 4, 2026, 8:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d17beebd748190b85d7bd549276197 |
completed | April 4, 2026, 9 p.m. |
Created at: March 30, 2026, 8:09 p.m.