Triple
T12879065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammar Marshes |
E308040
|
entity |
| Predicate | fauna |
P950
|
FINISHED |
| Object |
Iraq babbler
The Iraq babbler is a small, secretive passerine bird endemic to the reedbeds and marshes of southern Iraq and neighboring regions.
|
E1007804
|
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: Iraq babbler | Statement: [Hammar Marshes, fauna, Iraq babbler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iraq babbler Context triple: [Hammar Marshes, fauna, Iraq babbler]
-
A.
Iraq Burin
Iraq Burin is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
B.
Iraqi maqam
Iraqi maqam is a classical urban musical tradition of Iraq characterized by complex melodic modes, improvisation, and poetic vocal performance.
-
C.
Iragbiji
Iragbiji is a prominent town in southwestern Nigeria, recognized as one of the key urban centers of the Ijesha people in Osun State.
-
D.
Alhurra-Iraq
Alhurra-Iraq is an Arabic-language television channel focused on news and current affairs in Iraq, operated by the U.S.-funded Middle East Broadcasting Networks.
-
E.
Firaaq
Firaaq is a critically acclaimed 2008 Indian drama film directed by Nandita Das that explores the emotional aftermath of the 2002 Gujarat riots through multiple interwoven stories.
- 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: Iraq babbler Triple: [Hammar Marshes, fauna, Iraq babbler]
Generated description
The Iraq babbler is a small, secretive passerine bird endemic to the reedbeds and marshes of southern Iraq and neighboring regions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iraq babbler Target entity description: The Iraq babbler is a small, secretive passerine bird endemic to the reedbeds and marshes of southern Iraq and neighboring regions.
-
A.
Iraq Burin
Iraq Burin is a Palestinian village located in the Nablus Governorate in the northern West Bank.
-
B.
Iraqi maqam
Iraqi maqam is a classical urban musical tradition of Iraq characterized by complex melodic modes, improvisation, and poetic vocal performance.
-
C.
Iragbiji
Iragbiji is a prominent town in southwestern Nigeria, recognized as one of the key urban centers of the Ijesha people in Osun State.
-
D.
Alhurra-Iraq
Alhurra-Iraq is an Arabic-language television channel focused on news and current affairs in Iraq, operated by the U.S.-funded Middle East Broadcasting Networks.
-
E.
Firaaq
Firaaq is a critically acclaimed 2008 Indian drama film directed by Nandita Das that explores the emotional aftermath of the 2002 Gujarat riots through multiple interwoven stories.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bba33c081909c0050ff7b868a8e |
completed | May 3, 2026, 12:50 a.m. |
| NEDg | Description generation | batch_69f69df1032881909255e506ddfd9c9f |
completed | May 3, 2026, 12:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69ea645a0819095edc112b9ed9bff |
completed | May 3, 2026, 1:02 a.m. |
Created at: April 9, 2026, 5:39 p.m.