Triple
T13625859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shephelah |
E325578
|
entity |
| Predicate | containsSite |
P5003
|
FINISHED |
| Object |
Mareshah
Mareshah was an ancient fortified city of Judah, mentioned in the Hebrew Bible and located in the lowland region of southern Israel.
|
E1051606
|
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: Mareshah | Statement: [Shephelah, containsSite, Mareshah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mareshah Context triple: [Shephelah, containsSite, Mareshah]
-
A.
Zahleh
Zahleh is a major city in Lebanon’s Beqaa Valley, known for its predominantly Christian population, wineries, and role as a regional cultural and economic center.
-
B.
Kafr Saqr
Kafr Saqr is a city in northeastern Egypt known as one of the main urban centers of the Sharqia Governorate.
-
C.
Ain El Mreisseh
Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
-
D.
Tell al-Lahm
Tell al-Lahm is an ancient archaeological mound in southern Iraq, believed to be the remains of a significant Mesopotamian settlement.
-
E.
Shefa-'Amr
Shefa-'Amr is a predominantly Arab city in northern Israel, known for its mixed Muslim, Christian, and Druze population and its location near Haifa in the Galilee region.
- 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: Mareshah Triple: [Shephelah, containsSite, Mareshah]
Generated description
Mareshah was an ancient fortified city of Judah, mentioned in the Hebrew Bible and located in the lowland region of southern Israel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mareshah Target entity description: Mareshah was an ancient fortified city of Judah, mentioned in the Hebrew Bible and located in the lowland region of southern Israel.
-
A.
Zahleh
Zahleh is a major city in Lebanon’s Beqaa Valley, known for its predominantly Christian population, wineries, and role as a regional cultural and economic center.
-
B.
Kafr Saqr
Kafr Saqr is a city in northeastern Egypt known as one of the main urban centers of the Sharqia Governorate.
-
C.
Ain El Mreisseh
Ain El Mreisseh is a coastal neighborhood in Beirut, Lebanon, known for its seaside promenade, hotels, and proximity to the city’s central districts.
-
D.
Tell al-Lahm
Tell al-Lahm is an ancient archaeological mound in southern Iraq, believed to be the remains of a significant Mesopotamian settlement.
-
E.
Shefa-'Amr
Shefa-'Amr is a predominantly Arab city in northern Israel, known for its mixed Muslim, Christian, and Druze population and its location near Haifa in the Galilee region.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9c72c88190be3d7a3f2e96afbc |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77fa6a46881909d381d76d391f5b7 |
completed | May 3, 2026, 5:02 p.m. |
| NEDg | Description generation | batch_69f782c41634819096b0939c6c917259 |
completed | May 3, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78366eca88190be313c3a1b1e23ff |
completed | May 3, 2026, 5:18 p.m. |
Created at: April 9, 2026, 9:51 p.m.