Triple
T12208922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moukhtara |
E290904
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Beiteddine
Beiteddine is a historic Lebanese town in the Chouf region, best known for its 19th-century Beiteddine Palace and annual cultural festival.
|
E971809
|
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: Beiteddine | Statement: [Moukhtara, locatedNear, Beiteddine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beiteddine Context triple: [Moukhtara, locatedNear, Beiteddine]
-
A.
Intissar
Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
-
B.
Ad-Damazin
Ad-Damazin is a city in southeastern Sudan that serves as the main urban and administrative center of the Blue Nile region, near the Roseires Dam on the Blue Nile River.
-
C.
Hassouna
Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
-
D.
Ghadamisi
Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
-
E.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
- 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: Beiteddine Triple: [Moukhtara, locatedNear, Beiteddine]
Generated description
Beiteddine is a historic Lebanese town in the Chouf region, best known for its 19th-century Beiteddine Palace and annual cultural festival.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beiteddine Target entity description: Beiteddine is a historic Lebanese town in the Chouf region, best known for its 19th-century Beiteddine Palace and annual cultural festival.
-
A.
Intissar
Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
-
B.
Ad-Damazin
Ad-Damazin is a city in southeastern Sudan that serves as the main urban and administrative center of the Blue Nile region, near the Roseires Dam on the Blue Nile River.
-
C.
Hassouna
Hassouna is an Arabic family name commonly borne by individuals from the Middle East and North Africa.
-
D.
Ghadamisi
Ghadamisi is an alternative name for the Ghadamès Berber language spoken in and around the oasis town of Ghadamès in western Libya.
-
E.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a9d2f0c81908352cd9f0167c6ab |
completed | May 2, 2026, 2:30 p.m. |
| NEDg | Description generation | batch_69f60f2154c8819081f9cf6f51e5255b |
completed | May 2, 2026, 2:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f60fe8c2ec8190af7c69dd17ea75fe |
completed | May 2, 2026, 2:53 p.m. |
Created at: April 8, 2026, 9:51 p.m.