Triple
T20322350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Ghouta |
E492235
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Otaya
Otaya is a town in the Eastern Ghouta region of rural Damascus in Syria, known for being heavily affected during the Syrian civil war.
|
E1434580
|
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: Otaya | Statement: [Eastern Ghouta, hasSettlement, Otaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otaya Context triple: [Eastern Ghouta, hasSettlement, Otaya]
-
A.
Otuyo
Otuyo is a small locality in present-day Bolivia, historically noted as the birthplace of independence leader Cornelio Saavedra.
-
B.
Echigoya
Echigoya was a pioneering Edo-period dry-goods store in Japan that evolved into what is now the Mitsukoshi department store chain.
-
C.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
D.
Wataya
Wataya is a Japanese surname borne by individuals such as Chieko Wataya.
-
E.
Amaseno
Amaseno is a small Italian town located in the Lazio region, known for its agricultural traditions and scenic position in the Amaseno River valley.
- 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: Otaya Triple: [Eastern Ghouta, hasSettlement, Otaya]
Generated description
Otaya is a town in the Eastern Ghouta region of rural Damascus in Syria, known for being heavily affected during the Syrian civil war.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Otaya Target entity description: Otaya is a town in the Eastern Ghouta region of rural Damascus in Syria, known for being heavily affected during the Syrian civil war.
-
A.
Otuyo
Otuyo is a small locality in present-day Bolivia, historically noted as the birthplace of independence leader Cornelio Saavedra.
-
B.
Echigoya
Echigoya was a pioneering Edo-period dry-goods store in Japan that evolved into what is now the Mitsukoshi department store chain.
-
C.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
-
D.
Wataya
Wataya is a Japanese surname borne by individuals such as Chieko Wataya.
-
E.
Amaseno
Amaseno is a small Italian town located in the Lazio region, known for its agricultural traditions and scenic position in the Amaseno River valley.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778c4430819083b17da5067b88ef |
completed | April 20, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08939e2a5881909affec685c1c477e |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a0894753bb08190a9c07a9264b2b292 |
completed | May 16, 2026, 3:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08952b742c8190b00f806ab772e46d |
completed | May 16, 2026, 4:02 p.m. |
Created at: April 16, 2026, 11:20 a.m.