Triple
T16361916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irbid Governorate |
E397332
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Al-Taybeh
Al-Taybeh is a town in northern Jordan known as one of the population centers within the Irbid region.
|
E1208127
|
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: Al-Taybeh | Statement: [Irbid Governorate, hasCity, Al-Taybeh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Taybeh Context triple: [Irbid Governorate, hasCity, Al-Taybeh]
-
A.
Zu al-Qa'dah
Zu al-Qa'dah is an alternative transliteration of Dhu al-Qadah, the eleventh month of the Islamic lunar calendar and one of its four sacred months.
-
B.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
C.
Al-Qutayfah
Al-Qutayfah is a town in southwestern Syria that serves as a local administrative and population center within the Rif Dimashq region near Damascus.
-
D.
Al-Taysir
Al-Taysir is a seminal medical treatise by the Andalusian physician Ibn Zuhr that systematizes clinical observations and treatments in a clear, practical format.
-
E.
al-Qaʾim
al-Qaʾim is an honorific title in Shia Islam referring to the awaited messianic figure who will rise to establish justice and true religion.
- 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: Al-Taybeh Triple: [Irbid Governorate, hasCity, Al-Taybeh]
Generated description
Al-Taybeh is a town in northern Jordan known as one of the population centers within the Irbid region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al-Taybeh Target entity description: Al-Taybeh is a town in northern Jordan known as one of the population centers within the Irbid region.
-
A.
Zu al-Qa'dah
Zu al-Qa'dah is an alternative transliteration of Dhu al-Qadah, the eleventh month of the Islamic lunar calendar and one of its four sacred months.
-
B.
Taybeh
Taybeh is a predominantly Christian Palestinian village in the central West Bank, known for its historic churches and its locally brewed Taybeh beer.
-
C.
Al-Qutayfah
Al-Qutayfah is a town in southwestern Syria that serves as a local administrative and population center within the Rif Dimashq region near Damascus.
-
D.
Al-Taysir
Al-Taysir is a seminal medical treatise by the Andalusian physician Ibn Zuhr that systematizes clinical observations and treatments in a clear, practical format.
-
E.
al-Qaʾim
al-Qaʾim is an honorific title in Shia Islam referring to the awaited messianic figure who will rise to establish justice and true religion.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2ff39f8308190865d024734992a76 |
completed | April 18, 2026, 3:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbeabe081909e3d02676293e8b2 |
completed | May 10, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_6a002ed2ddf0819083be2dd80810ac78 |
completed | May 10, 2026, 7:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002f8fdefc8190bf893c7dc22c9f0b |
completed | May 10, 2026, 7:11 a.m. |
Created at: April 10, 2026, 5:08 a.m.