Triple
T19988511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idlib Governorate |
E493996
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Binnish
Binnish is a town in northwestern Syria located in the Idlib Governorate, known for its involvement in the Syrian civil conflict.
|
E1405871
|
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: Binnish | Statement: [Idlib Governorate, hasTown, Binnish]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binnish Context triple: [Idlib Governorate, hasTown, Binnish]
-
A.
Bingi
Bingi is a settlement located within Lubero Territory in the North Kivu province of the Democratic Republic of the Congo.
-
B.
Bhunu
Bhunu was a king of Swaziland (now Eswatini) from the royal House of Dlamini, known for his brief and turbulent reign in the late 19th and early 20th centuries.
-
C.
Biainili
Biainili is the native name for the ancient kingdom of Urartu, an Iron Age state centered around Lake Van in the Armenian Highlands.
-
D.
Bina
Bina is a railway and industrial town in the Indian state of Madhya Pradesh, known for its major railway junction and nearby oil refinery.
-
E.
Bina
Bina is the surname of Eric Bina, an American software engineer best known as the co-creator of the Mosaic web browser.
- 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: Binnish Triple: [Idlib Governorate, hasTown, Binnish]
Generated description
Binnish is a town in northwestern Syria located in the Idlib Governorate, known for its involvement in the Syrian civil conflict.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binnish Target entity description: Binnish is a town in northwestern Syria located in the Idlib Governorate, known for its involvement in the Syrian civil conflict.
-
A.
Bingi
Bingi is a settlement located within Lubero Territory in the North Kivu province of the Democratic Republic of the Congo.
-
B.
Bhunu
Bhunu was a king of Swaziland (now Eswatini) from the royal House of Dlamini, known for his brief and turbulent reign in the late 19th and early 20th centuries.
-
C.
Biainili
Biainili is the native name for the ancient kingdom of Urartu, an Iron Age state centered around Lake Van in the Armenian Highlands.
-
D.
Bina
Bina is a railway and industrial town in the Indian state of Madhya Pradesh, known for its major railway junction and nearby oil refinery.
-
E.
Bina
Bina is the surname of Eric Bina, an American software engineer best known as the co-creator of the Mosaic web browser.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fddfee081909aa8cd6e279b2a7a |
completed | April 20, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0804ffe4a88190a45e704f791f49f2 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a08061f6aa08190a7c8b4fc55ea1400 |
completed | May 16, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080706231c819081499808132fad82 |
completed | May 16, 2026, 5:56 a.m. |
Created at: April 11, 2026, 3:30 p.m.