Triple
T12637588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baghdad Governorate |
E301805
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Taji
Taji is a town in central Iraq, located just north of Baghdad and known for its large military base and strategic importance.
|
E994684
|
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: Taji | Statement: [Baghdad Governorate, contains, Taji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taji Context triple: [Baghdad Governorate, contains, Taji]
-
A.
Taji
Taji is a central character in Herman Melville’s philosophical romance "Mardi," serving as the narrator and guide through its allegorical island world.
-
B.
Al-Ouja
Al-Ouja is a village near Tikrit in Iraq, best known as the birthplace of former Iraqi president Saddam Hussein.
-
C.
Tanta
Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
-
D.
Tanta
Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
-
E.
Kaba
Kaba is an ethnic group in Central Africa known for speaking the Kaba language and maintaining distinct cultural traditions.
- 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: Taji Triple: [Baghdad Governorate, contains, Taji]
Generated description
Taji is a town in central Iraq, located just north of Baghdad and known for its large military base and strategic importance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taji Target entity description: Taji is a town in central Iraq, located just north of Baghdad and known for its large military base and strategic importance.
-
A.
Taji
Taji is a central character in Herman Melville’s philosophical romance "Mardi," serving as the narrator and guide through its allegorical island world.
-
B.
Al-Ouja
Al-Ouja is a village near Tikrit in Iraq, best known as the birthplace of former Iraqi president Saddam Hussein.
-
C.
Tanta
Tanta is a major city in northern Egypt that serves as an important commercial and transportation hub in the Nile Delta.
-
D.
Tanta
Tanta is a small Andean town in Peru known for its high-altitude landscapes and traditional rural life within the Nor Yauyos-Cochas scenic reserve.
-
E.
Kaba
Kaba is an ethnic group in Central Africa known for speaking the Kaba language and maintaining distinct cultural traditions.
- 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_69d7bdec9f9c8190b4bac675b7588211 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96147f49c8190b701e1e27e207a95 |
completed | April 10, 2026, 8:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66873706c8190a9908d1a8629b1c5 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f669a5d43c81909881cfd1f3797d4c |
completed | May 2, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66a2da60881909b0a689821456bb4 |
completed | May 2, 2026, 9:18 p.m. |
Created at: April 9, 2026, 5:16 p.m.