Triple
T15708812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alamut period |
E380780
|
entity |
| Predicate | hasFortress |
P11932
|
FINISHED |
| Object |
Meymun-Diz
Meymun-Diz was a prominent mountain fortress of the Nizari Ismaili state in the Alamut period, known for its strategic location and role in regional defense.
|
E1172638
|
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: Meymun-Diz | Statement: [Alamut period, hasFortress, Meymun-Diz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meymun-Diz Context triple: [Alamut period, hasFortress, Meymun-Diz]
-
A.
Meyomessala
Meyomessala is a town located in the South Region of Cameroon, known as a local administrative and trading center in the area.
-
B.
Kagizman
Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
-
C.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
-
D.
Halkapınar
Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
-
E.
Halkapınar
Halkapınar is a small rural district and municipality in central Turkey’s Konya Province, known for its agricultural character and proximity to the Taurus Mountains.
- 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: Meymun-Diz Triple: [Alamut period, hasFortress, Meymun-Diz]
Generated description
Meymun-Diz was a prominent mountain fortress of the Nizari Ismaili state in the Alamut period, known for its strategic location and role in regional defense.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meymun-Diz Target entity description: Meymun-Diz was a prominent mountain fortress of the Nizari Ismaili state in the Alamut period, known for its strategic location and role in regional defense.
-
A.
Meyomessala
Meyomessala is a town located in the South Region of Cameroon, known as a local administrative and trading center in the area.
-
B.
Kagizman
Kagizman is a town in eastern Turkey, historically part of the former Kars Oblast in the Caucasus region.
-
C.
Murzuq
Murzuq is an oasis town in southwestern Libya that historically served as an important Saharan trade and caravan center in the Fezzan region.
-
D.
Halkapınar
Halkapınar is a major transport hub and urban area in İzmir, Turkey, known for its extensive rail and tram connections.
-
E.
Halkapınar
Halkapınar is a small rural district and municipality in central Turkey’s Konya Province, known for its agricultural character and proximity to the Taurus Mountains.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f8d8b648190842c635f2ae7bfa4 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff757b7e0c81909b32aecc093c93e4 |
completed | May 9, 2026, 5:57 p.m. |
| NEDg | Description generation | batch_69ff76deb1948190bc49825719ac97d5 |
completed | May 9, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff77642ba4819095c1acc65da06135 |
completed | May 9, 2026, 6:05 p.m. |
Created at: April 10, 2026, 4:45 a.m.