Triple
T8350697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nergal |
E196148
|
entity |
| Predicate | hasTemple |
P1191
|
FINISHED |
| Object |
E-Meslam in Kutha
E-Meslam in Kutha was an ancient Mesopotamian temple complex dedicated to the underworld god Nergal in the city of Kutha.
|
E727451
|
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: E-Meslam in Kutha | Statement: [Nergal, hasTemple, E-Meslam in Kutha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E-Meslam in Kutha Context triple: [Nergal, hasTemple, E-Meslam in Kutha]
-
A.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
-
B.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
C.
Mit Ghamr
Mit Ghamr is an industrial and commercial city in Egypt’s Nile Delta, known historically as a center for aluminum production and early Islamic banking experiments.
-
D.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
-
E.
MV Kaleetan
MV Kaleetan is a Washington State Ferries vessel that operates as a car and passenger ferry in the Puget Sound region of Washington State.
- 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: E-Meslam in Kutha Triple: [Nergal, hasTemple, E-Meslam in Kutha]
Generated description
E-Meslam in Kutha was an ancient Mesopotamian temple complex dedicated to the underworld god Nergal in the city of Kutha.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: E-Meslam in Kutha Target entity description: E-Meslam in Kutha was an ancient Mesopotamian temple complex dedicated to the underworld god Nergal in the city of Kutha.
-
A.
Mezallat
Mezallat is a passenger station on Cairo Metro’s Line 2 serving commuters in the Greater Cairo area.
-
B.
Shalateen
Shalateen is a remote Egyptian town near the Sudanese border, known for its Bedouin communities, camel markets, and strategic location along the Red Sea coast.
-
C.
Mit Ghamr
Mit Ghamr is an industrial and commercial city in Egypt’s Nile Delta, known historically as a center for aluminum production and early Islamic banking experiments.
-
D.
Multazam
Multazam is the small sacred area between the Black Stone and the door of the Kaaba where pilgrims supplicate, believing prayers there are especially accepted.
-
E.
MV Kaleetan
MV Kaleetan is a Washington State Ferries vessel that operates as a car and passenger ferry in the Puget Sound region of Washington State.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80181ca48190bbf2e6a6aae80d69 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc74e11f881908b52d0ffea751c96 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc86626c8190a4206feedea24b41 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcde02e088190be8220f7d18d6700 |
completed | April 2, 2026, 2:01 a.m. |
Created at: March 30, 2026, 5:59 p.m.