Triple
T26914809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Ayyub al-Ansari |
E677488
|
entity |
| Predicate | hostedLocation |
P82607
|
FINISHED |
| Object |
Medina
Medina is Islam’s second holiest city in present-day Saudi Arabia, renowned as the destination of the Prophet Muhammad’s Hijra and the site of his mosque and tomb.
|
E28127
|
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: Medina | Statement: [Abu Ayyub al-Ansari, hostedLocation, Medina]
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: Medina Triple: [Abu Ayyub al-Ansari, hostedLocation, Medina]
Generated description
Medina is Islam’s second holiest city in present-day Saudi Arabia, renowned as the destination of the Prophet Muhammad’s Hijra and the site of his mosque and tomb.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostedLocation Context triple: [Abu Ayyub al-Ansari, hostedLocation, Medina]
-
A.
hostingLocation
chosen
Indicates the place or venue where an event, activity, or entity is being hosted or takes place.
-
B.
hostedOn
Indicates that one entity operates, resides, or is made available on another entity that provides the underlying platform or infrastructure.
-
C.
hosted
Indicates that one entity organized and provided the venue or platform for an event, activity, or presence involving another entity.
-
D.
hostedFrom
Indicates that something (such as a service, application, or event) is provided, run, or made available starting from a particular location, source, or environment.
-
E.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
- F. None of above.
Provenance (6 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f65f7731e4819099d5bd3d915ee266 |
completed | May 2, 2026, 8:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12297936a081908bc2b25814687d84 |
completed | May 23, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_6a122a5774408190b156c205e764e896 |
completed | May 23, 2026, 10:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a122b1ce9a48190935b3499f77d0a1e |
completed | May 23, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69f65c1f94ac8190bc6fbc7916fc0d82 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 27, 2026, 6:03 a.m.