Triple
T13411973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Battani |
E320111
|
entity |
| Predicate | birthPlace |
P1
|
FINISHED |
| Object |
Battan
Battan is a town in the Harran region of present-day Turkey, historically known as the birthplace of the medieval Arab astronomer and mathematician Al-Battani.
|
E1038855
|
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: Battan | Statement: [Al-Battani, birthPlace, Battan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Battan Context triple: [Al-Battani, birthPlace, Battan]
-
A.
Battir
Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
-
B.
Bacnotan
Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
-
C.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
D.
Bannik
Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
-
E.
Bastan
Bastan is a family of turboprop aircraft engines developed by Turbomeca and used on several regional and military transport aircraft.
- 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: Battan Triple: [Al-Battani, birthPlace, Battan]
Generated description
Battan is a town in the Harran region of present-day Turkey, historically known as the birthplace of the medieval Arab astronomer and mathematician Al-Battani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Battan Target entity description: Battan is a town in the Harran region of present-day Turkey, historically known as the birthplace of the medieval Arab astronomer and mathematician Al-Battani.
-
A.
Battir
Battir is a Palestinian village near Bethlehem renowned for its ancient terraced agriculture and irrigation system, recognized as a UNESCO World Heritage Site.
-
B.
Bacnotan
Bacnotan is a coastal municipality in the province of La Union in the Philippines, known for its cement industry and surfing beaches.
-
C.
Baniata
Baniata is an Oceanic language of the Meso-Melanesian group spoken in the Solomon Islands.
-
D.
Bannik
Bannik is a bathhouse-dwelling spirit in Slavic mythology, known for guarding the banya and sometimes scalding or frightening those who disrespect it.
-
E.
Bastan
Bastan is a family of turboprop aircraft engines developed by Turbomeca and used on several regional and military transport aircraft.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb3facc819088c1af3b59237e7a |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7307e9b5881908eb2cd9e4fa7c5f2 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f73195e4d88190ad356d0e3e18d34f |
completed | May 3, 2026, 11:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73220ffc08190bfb1b89757efd606 |
completed | May 3, 2026, 11:31 a.m. |
Created at: April 9, 2026, 9:35 p.m.