Triple
T14786328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meʼen language |
E347534
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Meʼen-Mekan
Meʼen-Mekan is an Afroasiatic language spoken by the Meʼen people of southwestern Ethiopia.
|
E1119793
|
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: Meʼen-Mekan | Statement: [Meʼen language, hasAlternativeName, Meʼen-Mekan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meʼen-Mekan Context triple: [Meʼen language, hasAlternativeName, Meʼen-Mekan]
-
A.
Ta’if
Ta’if is a historic city in western Saudi Arabia, situated in the mountains near Mecca and known for its cool climate, agriculture, and role in early Islamic history.
-
B.
Najran
Najran is a city in southwestern Saudi Arabia near the Yemeni border, known for its rich pre-Islamic history, diverse culture, and rapid modern development.
-
C.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
D.
Al Majarrah
Al Majarrah is a waterfront district in Sharjah, United Arab Emirates, known for its cultural landmarks and museums.
-
E.
Al-Awja
Al-Awja is a small village near Tikrit in northern Iraq, best known as the birthplace and burial site of former Iraqi president Saddam Hussein.
- 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: Meʼen-Mekan Triple: [Meʼen language, hasAlternativeName, Meʼen-Mekan]
Generated description
Meʼen-Mekan is an Afroasiatic language spoken by the Meʼen people of southwestern Ethiopia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meʼen-Mekan Target entity description: Meʼen-Mekan is an Afroasiatic language spoken by the Meʼen people of southwestern Ethiopia.
-
A.
Ta’if
Ta’if is a historic city in western Saudi Arabia, situated in the mountains near Mecca and known for its cool climate, agriculture, and role in early Islamic history.
-
B.
Najran
Najran is a city in southwestern Saudi Arabia near the Yemeni border, known for its rich pre-Islamic history, diverse culture, and rapid modern development.
-
C.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
D.
Al Majarrah
Al Majarrah is a waterfront district in Sharjah, United Arab Emirates, known for its cultural landmarks and museums.
-
E.
Al-Awja
Al-Awja is a small village near Tikrit in northern Iraq, best known as the birthplace and burial site of former Iraqi president Saddam Hussein.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decaa083e481908336d58d026eec32 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b9e8a08190bc736ac207b77324 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe266a05308190b9f6adba3e635e2f |
completed | May 8, 2026, 6:07 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe26f8fb7881909892c381b16fc80a |
completed | May 8, 2026, 6:10 p.m. |
Created at: April 10, 2026, 1:31 a.m.