Triple
T30308006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhul-Kifl |
E770842
|
entity |
| Predicate | possibleShrineLocation |
P175679
|
FINISHED |
| Object |
Al-Kifl, Iraq
Al-Kifl, Iraq is a town in central Iraq traditionally associated with the tomb of the prophet Dhul-Kifl and known as a historic religious pilgrimage site.
|
E1907544
|
NE FINISHED |
How this triple was built (3 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: Al-Kifl, Iraq | Statement: [Dhul-Kifl, possibleShrineLocation, Al-Kifl, Iraq]
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: Al-Kifl, Iraq Triple: [Dhul-Kifl, possibleShrineLocation, Al-Kifl, Iraq]
Generated description
Al-Kifl, Iraq is a town in central Iraq traditionally associated with the tomb of the prophet Dhul-Kifl and known as a historic religious pilgrimage site.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleShrineLocation Context triple: [Dhul-Kifl, possibleShrineLocation, Al-Kifl, Iraq]
-
A.
majorShrineLocation
Indicates that a major religious shrine is located at or associated with a particular place or geographic location.
-
B.
hasNearbyShrine
Indicates that one entity is located close to or in the vicinity of a shrine associated with another entity.
-
C.
containsShrine
Indicates that one entity includes or has within its boundaries a shrine associated with it.
-
D.
hasShrinesIn
Indicates that one entity possesses or maintains shrines that are located within the area or domain of another entity.
-
E.
recognizedAsShrineBy
Indicates that something is regarded or designated as a shrine by a particular person, group, or authority.
- F. None of above. chosen
Provenance (7 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_69f22488f224819081b0f3ec41ab975c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a276f11bd748190995fda1d954a61e9 |
completed | June 9, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_6a276fa88d248190a7bc70990a19ba5a |
completed | June 9, 2026, 1:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a277064150c8190a1d43e89ec3c4886 |
completed | June 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 29, 2026, 7:49 p.m.