Triple
T2830380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homs |
E62221
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Emesa
Emesa is the ancient name of the Syrian city now known as Homs, historically significant as a religious and trading center in Roman and early Christian times.
|
E302263
|
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: Emesa | Statement: [Homs, alternativeName, Emesa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emesa Context triple: [Homs, alternativeName, Emesa]
-
A.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
-
B.
Temara
Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
-
C.
Tirhuta
Tirhuta is a historical Brahmic script traditionally used for writing the Maithili language in the Mithila region of India and Nepal.
-
D.
Menetes
Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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: Emesa Triple: [Homs, alternativeName, Emesa]
Generated description
Emesa is the ancient name of the Syrian city now known as Homs, historically significant as a religious and trading center in Roman and early Christian times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emesa Target entity description: Emesa is the ancient name of the Syrian city now known as Homs, historically significant as a religious and trading center in Roman and early Christian times.
-
A.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
-
B.
Temara
Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
-
C.
Tirhuta
Tirhuta is a historical Brahmic script traditionally used for writing the Maithili language in the Mithila region of India and Nepal.
-
D.
Menetes
Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdebbde4881908dfa78e28c7018e0 |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceb771d48190a1467a6e58f756ad |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afd21bf66481909d0416cf591fc2cf |
completed | March 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afd28839a881909c758e2ea202242a |
completed | March 10, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:01 p.m.